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TylerIlunga

Procore MCP Server

Update Schedule Metadata

update_schedule_metadata
Idempotent

Change the schedule integration type for a Procore project, choosing between formats like Microsoft Project or Primavera P6.

Instructions

Updates the Schedule integration type for a project. #### Schedule Types | Type | Key | |------------------------------------------------------|-------------------------------| | File-based schedule integration via web browser | "Microsoft Project" | | File-based schedule integration via Procore Drive | "Microsoft Project 2010" | | File-based schedule integration via Procore Documents| "Microsoft Project Documents" | | Primavera P6 database integration via Procore Drive | "Primavera P6" | Note that the schedule types listed as "Microsoft Project", "Microsoft Project 2010", and "Microsoft Project Documents" are functionally identical. Send only the fields you intend to change; omitted fields keep their current values. project_id defaults to the value set by procore_set_config when omitted. Returns the modified schedule metadata 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, type. Procore API: Project Management > Schedule (Legacy). Endpoint: PATCH /rest/v1.0/projects/{project_id}/schedule

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYesJSON request body field — schedule Type object
project_idYesURL path parameter — unique identifier for the project.
Behavior5/5

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

Beyond annotations (readOnlyHint=false, destructiveHint=false), the description adds return behavior ('Returns the modified schedule metadata'), detailed failure modes with HTTP status codes, and default project_id behavior. This is comprehensive and not contradicted by annotations.

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

Conciseness4/5

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

The description is long but every sentence contributes: action, table, equivalence note, partial update, default, return, errors, endpoint. It is front-loaded with the core action. Could be slightly trimmed but contains no wasted 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?

With only 2 parameters and no output schema, the description fully covers valid values, defaults, update semantics, return value, and error handling. It also includes the API path and endpoint, making it complete for an agent to invoke correctly.

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

Parameters4/5

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

Schema coverage is 100% but descriptions are minimal ('JSON request body field'). The description adds a full table of valid type keys and notes their functional equivalence, plus default behavior for project_id. However, it doesn't clarify how to structure the nested type object in the request body, so it adds value but not complete clarity.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it updates the Schedule integration type for a project, with a specific verb and resource. It provides a detailed table of schedule types, but does not differentiate from the near-identical sibling 'update_schedule_integration_type', so it lacks explicit sibling differentiation.

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?

Provides clear context including partial update semantics ('Send only the fields you intend to change'), project_id default behavior, and error scenarios (401/403/404). It does not explicitly discuss alternatives or exclusions, but the guidance is sufficient for typical use.

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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