mymedi-ai-mcp-server

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It mentions the tool 'Returns warnings and errors,' which gives some behavioral insight. However, it lacks critical details: what constitutes correctness vs. active status, how context affects validation, whether this is a read-only operation, authentication requirements, or rate limits. For a validation tool with no annotation coverage, this is insufficient.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise with two sentences that efficiently state purpose and output. It's front-loaded with the core function. However, the second sentence about returns could be integrated more smoothly, and there's room to add brief usage context without sacrificing brevity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no annotations, no output schema, and low schema coverage (33%), the description is incomplete. It doesn't explain what 'warnings and errors' entail, how results are structured, or prerequisites for use. For a validation tool with three parameters and complex context, this leaves significant gaps for an AI agent to operate effectively.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 33% (only 'code' has a description), so the description must compensate. It implies validation uses 'codeType' and 'context' by mentioning them, but doesn't explain their roles (e.g., how codeType affects validation rules or what context includes beyond date). The description adds minimal meaning beyond the schema, not fully addressing the coverage gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Validate a medical code for correctness, active status, and context.' It specifies the verb (validate) and resource (medical code) with three validation criteria. However, it doesn't explicitly differentiate from sibling tools like 'code_lookup' or 'claims_validate' beyond the validation focus.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. With siblings like 'code_lookup', 'code_suggest', and 'claims_validate' available, there's no indication of when validation is preferred over lookup or suggestion, or what specific scenarios warrant this tool's use.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.