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TylerIlunga

Procore MCP Server

list_checklist_inspection_comments

Retrieve inspection comments from checklist items in Procore projects to review feedback, track issues, and manage quality control.

Instructions

List Checklist (Inspection) Comments. [Project Management/Inspections] GET /rest/v1.0/projects/{project_id}/checklist/list_item_comments

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesUnique identifier for the project.
pageNoPage
per_pageNoElements per page
filters__idNoReturn item(s) with the specified IDs.
filters__item_idNoArray of Checklist Item IDs. Return item(s) associated with the specified Checklist Item IDs.
filters__updated_atNoReturn item(s) last updated within the specified ISO 8601 datetime range. Formats: `YYYY-MM-DD`...`YYYY-MM-DD` - Date `YYYY-MM-DDTHH:MM:SSZ`...`YYYY-MM-DDTHH:MM:SSZ` - DateTime with UTC Offset `YYY...
sortNosort
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It mentions the HTTP method (GET) and endpoint, implying a read-only operation, but does not disclose behavioral traits like pagination behavior, rate limits, authentication needs, or what happens with filters. This is a significant gap for a tool with 7 parameters.

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 a single sentence that efficiently states the purpose and includes the API endpoint, which is useful for context. It is front-loaded with the core action, though it could be more structured by separating functional details from technical endpoint information.

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?

Given the complexity (7 parameters, no annotations, no output schema), the description is incomplete. It does not explain the return format, pagination, error handling, or how filters interact, which are critical for a list operation with multiple filtering options. The agent lacks sufficient context to use the tool effectively.

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 the schema already documents all parameters well. The description adds no additional meaning beyond the schema, such as explaining relationships between filters or typical use cases. Baseline 3 is appropriate when schema does the heavy lifting.

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 the action ('List') and resource ('Checklist (Inspection) Comments'), making the purpose understandable. However, it does not differentiate from sibling tools like 'list_checklists_inspections' or 'list_checklist_inspection_schedules', which list related but different entities, so it lacks explicit sibling distinction.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites, context, or compare with sibling tools (e.g., 'list_checklists_inspections' for inspections themselves), leaving the agent without usage direction.

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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