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TylerIlunga

Procore MCP Server

Update An Project Equipment Log (Deprecated)

update_an_project_equipment_log
Idempotent

Update an existing project equipment log in Procore by submitting only the fields you want to change; unspecified fields remain unchanged. Resolve the log ID via the matching list tool first.

Instructions

Updates an existing project equipment log in the specified Procore project. DEPRECATED: Procore has deprecated this endpoint (as of 2024-12-01). It is scheduled for removal on 2025-12-02; prefer a newer version of this resource where one exists, and use procore_search_endpoints to find it. Send only the fields you intend to change; omitted fields keep their current values. Pass the record's fields as top-level arguments — they are nested under "managed_equipment_log" in the request payload for you. project_id defaults to the value set by procore_set_config when omitted, and id must identify an existing parent record — resolve it with the matching list tool first. Returns the modified project equipment log on success. Failures come back as an error payload carrying the HTTP status — commonly 401 when the token has expired, 403 without tool permission, and 404 when an id does not resolve. Required parameters: project_id, id. Procore API: Project Management > Field Productivity. Endpoint: PATCH /rest/v1.0/projects/{project_id}/managed_equipment_logs/{id}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesURL path parameter — iD of the company to get the logs for
onsiteNoJSON request body field — the Date equipment arrived on site
offsiteNoJSON request body field — the Date equipment left the site
project_idYesURL path parameter — unique identifier for the project.
inspection_dateNoJSON request body field — the date the equipment was inspected
induction_numberNoJSON request body field — the number used for equipment induction
induction_statusNoJSON request body field — indicates if the equipemnt has been successfully inspected and allowed to perform work
managed_equipment_idNoJSON request body field — equipment Id the log is associated with
induction_checklist_list_idNoJSON request body field — id of the inspection list the equipment uses
Behavior5/5

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

Beyond the annotations (which only cover read-only, destructive, idempotent, open-world hints), the description discloses deprecation and removal date, partial-update semantics, payload nesting, default project_id behavior, required prerequisites (existing id), return value, and common error statuses. This adds substantial behavioral context with no contradiction.

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?

At roughly 200 words, the description is dense but every sentence provides value—from deprecation warning to partial-update semantics to error handling. It is front-loaded with the core action and structured logically. No redundant or filler content.

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?

For a mutation tool with no output schema, the description covers purpose, lifecycle (deprecated), usage prerequisites, parameter layout, defaulting, success returns, and failure statuses. It also names the API category and endpoint, making it self-sufficient. This is a complete picture for an agent.

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

Parameters5/5

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

The schema already covers all 9 parameters with descriptions (100% coverage), but the description adds key semantics: only changed fields need be sent, fields are top-level arguments but nested under 'managed_equipment_log' in the payload, project_id defaults to procore_set_config, and id must reference an existing record. This meaningfully aids parameter usage 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 opens with 'Updates an existing project equipment log in the specified Procore project,' clearly identifying the verb, resource, and scope. It further distinguishes itself by flagging the endpoint as DEPRECATED and pointing to a newer version via procore_search_endpoints. This is a specific and actionable purpose statement.

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

Usage Guidelines5/5

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

It explicitly tells the agent to prefer a newer version of this resource and how to find it (use procore_search_endpoints). It also provides usage rules: send only fields to change, omitted fields keep current values, and resolve id with the matching list tool first. This is clear when-to-use versus alternative guidance.

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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