Skip to main content
Glama
withqwerty

football-docs

by withqwerty

resolve_provider_id

Read-only

Resolves brand, vendor, or product names to canonical provider keys for football data searches. Use to standardize provider references before querying.

Instructions

Resolve a football data provider name or alias to the canonical football-docs provider key before searching. Use when users mention brands, vendors, products, or aliases such as Stats Perform, Opta F24, Hudl Wyscout, Second Spectrum, FMDB, Transfer Room, FBref, Sofascore, or TheSportsDB.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesProvider name, brand, product, or alias to resolve to a canonical provider key.
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the description's additional behavioral context is minimal. It adds that resolution maps to a canonical key, which is consistent. No contradictions, but no extra behavioral details like error handling or idempotency.

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

Conciseness5/5

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

Two sentences: first states the action concisely, second lists usage examples. No wasted words. Front-loaded with the core purpose.

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

Completeness5/5

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

Given the tool's simplicity (one param, no output schema, read-only), the description fully covers what an agent needs: purpose, when to use, and input examples. No gaps.

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

Parameters4/5

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

Schema coverage is 100% and the schema description already defines the query parameter. The tool description adds concrete examples (e.g., Stats Perform, Opta F24) that help clarify acceptable input values, enhancing semantic understanding beyond the schema.

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's purpose: resolving a provider name/alias to a canonical key. It specifies the verb 'resolve', the resource (provider name to key), and lists numerous examples, leaving no ambiguity.

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

Usage Guidelines4/5

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

Explicitly says 'Use when users mention brands, vendors, products, or aliases' with specific examples. Implies it's a preprocessing step for searching. Lacks explicit exclusion criteria but provides clear guidance on when to invoke.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/withqwerty/football-docs'

If you have feedback or need assistance with the MCP directory API, please join our Discord server