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TylerIlunga

Procore MCP Server

Show Weather Log

show_weather_log
Read-onlyIdempotent

Retrieve full details of a specific weather log entry using its project and log identifiers. Use this to view detailed daily log information.

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 (v1.1): Project Management > Daily Log. Endpoint: GET /rest/v1.1/projects/{project_id}/daily_logs/weather_logs/{id}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesURL path parameter — unique identifier for the project.
idYesURL path parameter — unique identifier of the Daily Log resource
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, so the safety and idempotency profile is clear. The description adds the HTTP endpoint and module context (Project Management > Daily Log) but does not disclose any behavioral traits beyond what annotations provide. It does not contradict 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 very concise: two clear sentences plus a brief API reference. It is front-loaded with the core purpose ('Returns single Weather Log'), and every sentence provides essential information without redundancy. No wasted words.

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 is simple with 4 parameters (2 documented as required in the description, all in schema) and no output schema. The description states the output is a JSON object but does not detail its structure or fields. Given the lack of output schema, the description could include more about the response format. It is adequate for a basic retrieval tool but leaves some gaps.

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 all parameters are documented in the schema. The description only repeats the required parameters (project_id, id) but does not add new meaning or usage context for them. With high schema coverage, the baseline of 3 is appropriate; the description adds no extra semantic value.

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 verb 'Returns' and the resource 'Weather Log', specifying it fetches full details of a specific Daily Log record. The tool name itself is unambiguous. Among siblings, there are other show/log tools, but the description sufficiently distinguishes by naming the exact resource and operation.

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 says 'Use this to fetch the full details...' which implies when to use it, but it does not state when not to use it or provide alternatives. There is no explicit guidance on choosing this over other log retrieval tools. The usage is implied but lacks exclusions or comparative context.

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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