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TylerIlunga

Procore MCP Server

Show Weather Logs

show_weather_logs
Read-onlyIdempotent

Retrieve full details of a specific weather log from a Procore project using its unique identifier or log date.

Instructions

Returns single Weather Log. Use this to fetch the full details of a specific Daily Log records by its identifier. Returns a JSON object describing the requested Daily Log records. Required parameters: project_id, id. Procore API: Project Management > Daily Log. Endpoint: GET /rest/v1.0/projects/{project_id}/weather_logs/{id}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesURL path parameter — unique identifier for the project.
idYesURL path parameter — use log date as your ID. Format YYYYMMDD ie:20161108
log_dateNoQuery string parameter — log date of specific log desired in YYYY-MM-DD format (This will override ID as log Date)
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=true, destructiveHint=false, idempotentHint=true, and openWorldHint=true. The description adds that it returns a JSON object, which is implicit from the operation. No additional behavioral context like error handling or rate limits is provided. No contradiction with annotations.

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?

The description is extremely concise at 4 sentences, front-loading the purpose, then return type, required params, and API reference. Every sentence serves a clear purpose with no redundancy.

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?

The tool has no output schema, and the description only vaguely mentions 'JSON object'. While the tool is simple, a few details about expected fields (e.g., temperature, conditions) would improve completeness. As is, it is minimally adequate.

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%, with each parameter fully described in the schema. The description only mentions two required parameters without adding extra meaning beyond the schema. Baseline score of 3 is appropriate.

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 it returns a single Weather Log to fetch full details by identifier, distinguishing from list tools like 'list_weather_logs_project' which appear among siblings. The verb 'show' and resource 'Weather Log' are specific.

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?

The description implies usage for fetching a single log by ID, but does not explicitly state when to use it versus listing or other alternatives. No exclusion criteria or when-not-to-use guidance is provided.

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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