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deanchong
by deanchong

post_batch_update_requirements

Destructive

Update multiple requirements in a single request by specifying IDs and fields to apply the same values, supporting partial updates.

Instructions

Update multiple requirements. Update multiple requirements at once in a single request. Specify the requirement identifiers and the fields you want to update, and all selected requirements will receive the same field values. This endpoint supports partial updates.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare destructiveHint=true, idempotentHint=false, and openWorldHint=true, so the safety profile is covered. The description adds genuinely useful non-obvious behavior: all selected requirements receive the same field values, and partial updates are supported (unspecified fields are left untouched). This is meaningful context beyond the 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?

Front-loads the core action, but the first two sentences are near-duplicate restatements ('Update multiple requirements' / 'Update multiple requirements at once in a single request'). The unique value only arrives in the back half, so it isn't optimally tight.

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 destructive batch mutation with no output schema, the annotations cover the safety profile and the description covers batch semantics. It still omits error/partial-failure handling and confirmation requirements, which matter for a destructive bulk operation, so it is adequate but not 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?

With schema description coverage at 0%, the description carries more burden, and it does communicate that the body takes requirement identifiers plus the fields to update. However, it doesn't clarify the array structure, the required id, or the available fields (tags, requirement_type_id), leaving gaps the schema could otherwise fill.

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

Purpose5/5

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

States a specific verb (update), resource (requirements), and scope (multiple, in a single batch request). The batch framing distinguishes it from the single-resource put_requirement sibling without needing to name it. An agent can identify the operation immediately.

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 establishes that this handles multiple requirements at once, implying its use case relative to single-update tools, but it never explicitly says when to choose batch over per-record updates or states exclusions. Usage is inferable rather than stated.

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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