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TylerIlunga

Procore MCP Server

Update Delivery Log

update_delivery_log

Update a specific delivery log in a Procore project. Modify only the fields you supply and get the updated object back.

Instructions

Update single Delivery Log in the specfied Project. Use this to update an existing Daily Log records (only the supplied fields are changed). Updates the specified Daily Log records and returns the modified object on success. Required parameters: project_id, id, delivery_log. Procore API: Project Management > Daily Log. Endpoint: PATCH /rest/v1.0/projects/{project_id}/delivery_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
delivery_logYesJSON request body field — the delivery log for this Daily Log operation
attachmentsNoJSON request body field — attachments are not viewable or used on web. To upload attachments you must upload the entire payload as `multipart/form-data` content-type and specify each parameter as form-data together with `at...
Behavior4/5

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

Annotations already indicate readOnlyHint=false, destructiveHint=false, idempotentHint=false. The description adds that only supplied fields are changed (partial update) and that the modified object is returned on success. It also provides the API endpoint. This adds good context beyond 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 concise (4 sentences) and front-loaded with the main purpose. It includes necessary details without being verbose. The inclusion of the API endpoint is slightly extraneous but not harmful.

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

Completeness4/5

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

Given no output schema, the description mentions the return of the modified object. It covers the operation type, partial update behavior, required parameters, and endpoint. It lacks error handling or specific constraints, but for a simple update tool it is fairly 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?

Input schema coverage is 100%, with clear descriptions for each parameter. The description restates required parameters but does not explain the structure of the 'delivery_log' object (which has additionalProperties). Thus it adds marginal value beyond the schema.

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 a single Delivery Log (Daily Log) in a specified project, distinguishing it from create and delete operations. However, it does not explicitly differentiate from the sibling 'bulk_updates_for_daily_logs' tool, which is a close alternative.

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 update an existing Daily Log records (only the supplied fields are changed)', implying partial updates. It lists required parameters but does not explicitly state when not to use this tool (e.g., for bulk updates) or mention alternatives like the bulk update sibling.

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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