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TylerIlunga

Procore MCP Server

Show Productivity Logs

show_productivity_logs
Read-onlyIdempotent

Fetch full details of a specific productivity log by providing the project and log IDs. Returns a JSON object describing the daily log record.

Instructions

Returns single Productivity 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}/productivity_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 provide readOnlyHint=true, destructiveHint=false, idempotentHint=true. The description adds that it 'Returns a JSON object describing the requested Daily Log records,' which is consistent and provides minor additional context. No contradictions. Since annotations already cover safety, the description adds limited new behavioral info.

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

Conciseness3/5

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

The description has 4 sentences, but the first two ('Returns single Productivity Log' and 'Use this to fetch...') are slightly redundant. It also includes context about API and endpoint. While not overly long, it could be more concise. Every sentence adds some value, but overall conciseness is average.

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

Completeness2/5

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

There is no output schema, so the description should ideally describe the return value structure. It only says 'JSON object describing the requested Daily Log records' without specifying fields. Additionally, pagination parameters 'page' and 'per_page' are not explained in context. Given the lack of output schema, the description is insufficiently complete.

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 coverage is 100%, so the schema already describes all parameters. The description reiterates that 'project_id' and 'id' are required, adding emphasis but no new meaning. It does not explain 'page' or 'per_page' beyond schema. Baseline 3 is appropriate due to full schema coverage.

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 'Returns single Productivity Log' and specifies 'fetch the full details of a specific Daily Log records by its identifier.' The verb 'returns' and resource 'Productivity Log' are specific. Among many sibling 'show_*' tools, this one is distinguished by its 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 Guidelines4/5

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

The description explicitly says 'Use this to fetch the full details of a specific Daily Log records by its identifier,' which indicates when to use it. It also lists required parameters (project_id, id). While it does not explicitly state when not to use or name alternatives, the context is clear and the sibling tool 'list_productivity_logs' provides an implicit contrast.

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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