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TylerIlunga

Procore MCP Server

Return A Filter

return_a_filter
Read-onlyIdempotent

Retrieve a project-level configuration filter by company ID and filter name. Returns JSON describing the filter.

Instructions

Return a filter by a specific name. Use this to read information about Project-Level Configuration records from Procore. Returns a JSON object describing the requested Project-Level Configuration records. Required parameters: company_id, name. Procore API: Company Admin > Project-Level Configuration. Endpoint: GET /rest/v1.0/companies/{company_id}/filters/{name}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
company_idYesURL path parameter — unique identifier for the company.
nameYesURL path parameter — filter name.
pageNoPage number for paginated results (default: 1)
per_pageNoNumber of items per page (default: 100, max: 100)
Behavior3/5

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

Annotations already declare readOnlyHint, destructiveHint, etc., so the description adds limited new behavioral context beyond stating it returns a JSON object. No contradictions.

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?

Four sentences efficiently convey purpose, usage, required params, and API endpoint. Front-loaded with main action, no wasted words.

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 no output schema, the description explains the return value as a JSON object. It also includes the API endpoint and required parameters, making it sufficiently complete for a simple read tool.

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 description coverage is 100%, so the schema fully documents all four parameters. The description repeats required params 'company_id' and 'name' but adds no new meaning beyond what the schema provides.

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?

Clearly states it returns a filter by name, reads Project-Level Configuration records, and specifies the API endpoint. Differentiates from other sibling tools as the only filter retrieval tool.

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 this to read information' and lists required parameters. However, it does not provide explicit when-not-to-use guidance or mention alternatives, though sibling tools are numerous and none are direct alternatives.

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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