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TylerIlunga

Procore MCP Server

Delete Project Observation Type

delete_project_observation_type
DestructiveIdempotent

Permanently delete a project observation type using the project ID and observation type ID. This action cannot be undone.

Instructions

Delete Project Observation Type. Use this to permanently delete the specified Observations. This cannot be undone. Permanently removes the specified Observations. This action cannot be undone. Required parameters: project_id, id. Procore API: Project Management > Observations. Endpoint: DELETE /rest/v1.0/projects/{project_id}/observation_types/{id}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesURL path parameter — unique identifier for the project.
idYesURL path parameter — project Observation Type ID
Behavior3/5

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

Annotations already indicate destructiveHint=true; description adds 'cannot be undone' and 'permanently removes', reinforcing the destructive nature. It also provides API context. No contradiction, but adds minimal new info 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.

Conciseness3/5

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

Description is somewhat repetitive (states 'cannot be undone' twice). It includes useful API endpoint info but could be more concise. Front-loads purpose effectively.

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

Completeness3/5

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

For a simple delete tool with no output schema, description covers permanence, required params, and API reference. However, the inconsistency in what gets deleted (observations vs observation types) reduces completeness. Lacks details on side effects or return values.

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%; description simply restates required parameters (project_id, id) without adding any new semantic information or usage details beyond the schema.

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

Purpose3/5

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

The description states the tool deletes 'Project Observation Type' but then says 'permanently delete the specified Observations', causing confusion between deleting observations vs observation types. The purpose is mostly clear but has an inconsistency.

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?

Description provides when to use (to permanently delete) and warns it cannot be undone. It lists required parameters and API endpoint but does not specify when not to use or suggest alternative tools among the many sibling delete tools.

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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