competlab-mcp-server

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

With no annotations provided, the description carries full burden. It discloses 'Read-only' safety status and return format 'JSON array of projects' with specific fields (status, competitor count, last monitored timestamp). Minor gap: no mention of pagination, result limits, or empty state 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?

Three sentences with zero waste: Sentence 1 establishes scope and return fields; Sentence 2 provides critical dependency/sequencing guidance; Sentence 3 discloses safety and return format. Information density is high with no redundancy.

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 zero parameters and no output schema, the description adequately compensates by detailing return structure (JSON array with specific fields) and establishing tool relationships. Complete enough for a discovery/list tool, though output schema would improve completeness further.

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?

Input schema has 0 parameters. Per rubric, 0 params warrants baseline 4. Description correctly expends no words on parameters since none exist, focusing instead on return value semantics.

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 uses specific verb 'List' with resource 'projects' and scope 'in your organization'. It clearly distinguishes from sibling 'get_project' by emphasizing 'all projects' and explicitly states this discovers 'projectId values required by all other tools', establishing its role as the root discovery tool for the 18+ sibling tools.

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?

Excellent explicit guidance: 'Start here — call this first' provides clear sequencing. It establishes the dependency model by stating other tools require projectId values discovered by this tool, effectively documenting when to use this versus alternatives (use this first, others second).

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