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TylerIlunga

Procore MCP Server

Bulk Update Project Observation Templates

bulk_update_project_observation_templates

Bulk update multiple project observation templates at once by specifying IDs and optional fields like assignee, trade, or active status. Use this to efficiently modify existing templates in a Procore project.

Instructions

Bulk Update Project Observation Templates. Use this to update an existing Observations (only the supplied fields are changed). Updates the specified Observations and returns the modified object on success. Required parameters: project_id. Procore API: Project Management > Observations. Endpoint: PATCH /rest/v1.0/projects/{project_id}/observation_templates/bulk_update

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesURL path parameter — unique identifier for the project.
observation_template_idsNoQuery string parameter — iDs of all Project Observation Templates specified for bulk update
activeNoJSON request body field — flag that denotes if the Project Observation Template is available for use
assignee_idNoJSON request body field — the ID of the Project Observation Template's Assignee
trade_idNoJSON request body field — the ID of the Project Observation Template's Trade
Behavior4/5

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

Annotations already indicate write operation (readOnlyHint false), non-destructive, non-idempotent. The description adds that only supplied fields are changed (partial update via PATCH) and returns modified object. No contradiction, and provides useful behavioral 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?

Four sentences covering purpose, usage, required parameter, and API reference. Reasonably concise, though the first sentence repeats the title. Front-loads key info but includes endpoint info which is secondary.

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?

Given schema and annotations cover most basics, the description explains it's a bulk update, partial update, and returns modified object. However, it does not clarify behavior on partial failures, empty arrays, or authorization scope. Adequate but not comprehensive.

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 coverage is 100% with descriptions for all parameters. The description only reiterates that project_id is required, adding no new meaning. Does not compensate for missing nuance like the array semantics of observation_template_ids.

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 verb 'update' and resource 'Project Observation Templates'. It distinguishes from sibling bulk_update_company_observation_templates by name, but does not explicitly contrast. Minor inconsistency: mentions 'Observations' instead of 'Observation Templates'.

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 Observations' and notes required parameters, but does not specify when to use vs. alternatives like bulk_update_company_observation_templates or when not to use. Usage is implied but not explicit.

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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