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lewis-mcgillion

ProCyclingStats MCP Server

search_pcs

Search for riders, races, or teams on ProCyclingStats by entering a text query. Returns matching results up to a specified maximum.

Instructions

Search ProCyclingStats for riders, races, or teams.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch text (e.g. 'Pogacar', 'Tour de France', 'UAE').
max_resultsNoMaximum number of results (default 20).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, and the description only states the search scope. It lacks details on read-only nature, side effects, or response behavior (e.g., pagination, result limits), leaving the agent with insufficient behavioral context.

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

Conciseness4/5

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

One sentence, no wasted words. It is front-loaded. Could improve by adding minimal usage context without being verbose.

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

Completeness3/5

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

Given that an output schema exists, description does not need to detail return values. However, it omits search behavior (e.g., ordering, default limits), which would help the agent despite the output schema.

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

Parameters3/5

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

Schema covers all parameters with descriptions, so the description adds no extra meaning beyond the input schema. Baseline 3 applies.

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

Purpose5/5

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

The description clearly states the tool searches for three entity types (riders, races, teams) using a specific verb. This distinguishes it from sibling tools like discover_races and get_rider_profile, which are narrow.

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

Usage Guidelines3/5

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

No explicit guidance on when to use this tool versus alternatives. The description implies general search, but does not state when to prefer specific tools or when not to use this tool.

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

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