competlab-mcp-server

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

With no annotations provided, the description carries the full burden. It successfully discloses the read-only nature ('Read-only') and compensates for the missing output schema by detailing the return structure (insights with evidence, recommended actions with rationale, freshness timestamps). Minor gap: no mention of rate limits, error conditions, or caching behavior.

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?

Five sentences, each earning its place: (1) core purpose, (2) return value details, (3) usage guidance, (4) safety declaration, (5) format specification. Information is front-loaded with the core action first, followed by outputs and guidance.

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 the lack of output schema and annotations, the description provides excellent contextual completeness. It explains the hierarchical relationship to sibling tools, describes the JSON return structure in detail, and declares the read-only safety profile, providing sufficient context for tool selection and invocation.

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?

The input schema has 100% description coverage (projectId is fully documented). The description provides no additional parameter-specific guidance, but with such high schema coverage, the baseline score of 3 is appropriate as the schema sufficiently documents usage.

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 opens with a specific verb ('Get'), clear resource ('AI-generated competitive action plan'), and scope ('aggregated across all 5 monitoring dimensions'). It effectively distinguishes itself from the numerous dimension-specific sibling tools (get_ai_visibility..., get_content..., etc.) by emphasizing its aggregated, strategic nature.

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?

Explicitly provides sequencing guidance: 'start here for a strategic overview before drilling into specific dimensions.' This clearly positions the tool as the entry point and implicitly identifies the sibling dimension-specific tools as the alternatives for detailed analysis.

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