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TylerIlunga

Procore MCP Server

create_checklist_item_response

Submit inspection responses for checklist items in Procore projects, including status updates, multiple choice selections, text, number, or date values.

Instructions

Create Checklist Item Response. [Project Management/Inspections] POST /rest/v1.0/projects/{project_id}/checklist/items/{item_id}/item_response

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
item_idYesChecklist Item ID
project_idYesUnique identifier for the project.
statusNoItem Status - Value for Default-Typed items. Allowed values are 'conforming', 'non_conforming', and 'not_applicable'.
response_option_idNoResponse Option ID - Value for Multiple Choice Response Items
text_valueNoText Response - Value for Open Ended Text Items
number_valueNoNumber Response - Value for Open Ended Number Items
date_valueNoDate Response - Value for Open Ended Date Items. Format should be YYYY-MM-DD
Behavior2/5

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

No annotations are provided, so the description carries full burden. It states 'POST' implying a write operation, but doesn't disclose behavioral traits like required permissions, whether it's idempotent, what happens on conflict, or what the response contains. The description adds minimal behavioral context beyond the HTTP method.

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 is brief (one sentence) but includes redundant information. 'Create Checklist Item Response' repeats the tool name, and the API endpoint could be inferred from context. It's front-loaded but could be more efficiently structured by focusing on purpose rather than implementation details.

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?

For a mutation tool with 7 parameters, no annotations, and no output schema, the description is inadequate. It doesn't explain what a 'Checklist Item Response' is, what happens after creation, or any error conditions. The agent lacks sufficient context to use this tool effectively despite the good schema coverage.

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%, with each parameter well-documented in the schema. The description adds no parameter semantics beyond what's in the schema. According to scoring rules, when schema coverage is high (>80%), the baseline is 3 even with no param info in description.

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 ('Create Checklist Item Response') and resource ('Checklist Item Response'), with a domain context hint ('[Project Management/Inspections]'). It distinguishes from siblings by specifying the exact API endpoint, but doesn't explicitly differentiate from other checklist-related tools in the sibling list.

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?

No guidance is provided on when to use this tool versus alternatives. The description doesn't mention prerequisites, context, or any sibling tools that might be relevant for similar operations. The agent must infer usage solely from the tool name and schema.

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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