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 disclosure burden. It successfully declares the read-only safety profile ('Read-only'), return format ('Returns JSON array'), and special data semantics ('marked isOwn: true'). It lacks mention of pagination, rate limits, or auth requirements, but covers the critical behavioral traits sufficiently.

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?

Six sentences total, each earning its place: purpose, special flag behavior (isOwn), return fields, dependency usage, safety declaration, and return format. Information is front-loaded with the core action, followed by specific behavioral details and workflow context. No redundant or wasted language.

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?

Despite lacking an output schema and annotations, the description compensates by detailing return structure ('JSON array' with 'domain, name, and status'), explaining the self-analysis inclusion logic, and mapping dependencies to sibling tools. Only minor gap is absence of pagination behavior or result limits for a list operation.

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 100% (projectId is fully documented as 'Project ID (from list_projects)'). The description does not add parameter-specific syntax or validation details beyond the schema, which is appropriate given the high schema coverage per scoring baseline.

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-resource combination ('List all competitors') and clarifies scope ('being monitored for a project'). It distinguishes from sibling tools by noting the output includes 'competitorId values needed by list_alerts, get_competitor, and get_content_changelog', clearly positioning this as a prerequisite discovery tool.

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 states when to invoke the tool: 'Use this to get competitorId values needed by list_alerts, get_competitor, and get_content_changelog.' This dependency mapping provides clear workflow guidance and identifies the specific siblings this tool feeds into, functioning as an effective 'when-to-use' directive.

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