DeepSecure defines 2 tools with descriptions and input schemas present in deepsecure/main.py. However, critical issues severely limit quality: (1) Tool naming does not follow verb_noun convention, 'agent' is not an action verb and is ambiguous (does it create? retrieve? both?). 'get_secret' is better but generic. (2) Descriptions are extremely brief (36 and 57 chars respectively), well below the 10-1024 character guideline and provide minimal context for LLM tool selection. 'Fetch a secret securely through DeepSecure with audit logging' does not explain WHEN to use this vs. other secret retrieval mechanisms, or what the agent_id represents. (3) Parameter descriptions are missing entirely, no explanation of what 'agent_id', 'secret_name', 'path', 'agent_name', or 'auto_create' actually do in the context of DeepSecure's security model. (4) Output schemas are not documented, LLMs have no visibility into what fields these tools return, preventing downstream tool composition. (5) No error handling guidance, no indication of retryable vs. fatal errors, no recovery suggestions. (6) Security critical: the 'agent_id' parameter naming is vague and could leak sensitive information if logged; no indication of how secrets are handled in responses. (7) Tool 'agent' conflates two operations (create OR retrieve) in one tool, violating single-responsibility principle. Source code provides Makefile and Docker/requirements files but NO explicit MCP server implementation visible, tool definitions appear inferred from file path references only.

• Rename 'agent' to 'create_agent' or 'get_agent_identity' to make the action explicit. If tool supports both operations, split into two tools: one for creation, one for retrieval.
• Expand get_secret description to 80-150 characters: 'Retrieve a secret from the vault for the specified agent, with audit logging. Provide agent_id (the requesting agent's identity), secret_name (exact name of the secret), and path (vault location).'
• Expand agent description to 100-150 characters: 'Create a new agent identity in DeepSecure or retrieve an existing one. Use auto_create=true to automatically provision a new agent if it does not exist; false to only retrieve existing agents.'
• Add parameter descriptions: agent_id: 'The unique identifier of the agent making the request (used for audit logging and permission verification)', secret_name: 'The exact name of the secret stored in the vault', path: 'The vault path hierarchy where the secret is stored (e.g., /prod/database/credentials)', agent_name: 'The human-readable or unique name of the agent to create or retrieve', auto_create: 'If true, create the agent if not found; if false, only retrieve existing agents.'
• Document output schemas for both tools. E.g., get_secret returns {secret_value: string, retrieved_at: ISO8601, agent_id: string, audit_id: string}. agent returns {agent_id: string, agent_name: string, created: boolean, identity_token: string}.
• Add error handling: 'If secret not found, the tool returns error code 404 with message "Secret {name} not found at path {path}". If agent lacks permission, returns 403 with message "Agent {agent_id} does not have permission to access secret {secret_name}". Both errors are non-retryable; verify permissions before retrying.'

Inferred effective spec: <=2025-11-25.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry