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Customer sign-off on the inventory, plus free-text notes.

approve_inventory

Customer sign-off on the inventory, plus free-text notes. Scope: jobs:write.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notesNoUp to 2000 chars; absent leaves unchanged
job_idYesThe job id (ULID)
approvedNoDefault true. false withdraws the sign-off.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already indicate readOnlyHint=false and destructiveHint=false, so the safety profile is known. The description adds only 'Scope: jobs:write', which is an authorization detail rather than a behavioral disclosure. It does not explain side effects such as withdrawal via approved=false, idempotency, or downstream consequences.

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 extremely concise: one sentence plus a scope qualifier, with no filler. It is front-loaded and easy to parse. However, its brevity sacrifices useful behavioral and usage context, so it cannot earn a 5.

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 three-parameter tool with full schema coverage and basic annotations, the description is minimally adequate. It includes the auth scope and the sign-off action, but it lacks guidance on when to use it and what happens when approved=false or notes are modified. An agent could probably call it correctly, but not with full confidence about side effects.

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 job_id, notes, and approved are already fully documented in the schema. The description's 'free-text notes' and 'sign-off' add no additional meaning beyond what the property names and schema provide. A baseline score of 3 is appropriate when the schema carries the parameter semantics.

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 states a specific action ('Customer sign-off') and resource ('the inventory'), immediately clarifying the tool's core purpose. It also indicates 'free-text notes' and scope 'jobs:write'. It doesn't explicitly contrast with siblings like quote_inventory or acknowledge_gaps, but the sign-off wording is sufficiently distinct.

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?

There is no guidance about when to use this tool versus related siblings such as quote_inventory, acknowledge_gaps, or confirm_access. The description gives no preconditions, exclusions, or alternative routing. This leaves the agent to infer usage context from the name alone.

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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TDQS

A3.5/5.0
Disambiguation5/5

Each tool targets a distinct action or resource: job lifecycle, upload steps, quote variants, key management, and webhook replay are clearly separated. Even the three pricing tools are differentiated by context (pre-job ballpark, direct quote, date-window pricing).

Naming Consistency4/5

Almost all tools follow a verb_noun snake_case pattern (create_job, list_jobs, set_contact, rotate_key). Minor deviations like ballpark_estimate (no verb) and get_cube_sheet_csv (format suffix) keep it from being perfectly consistent.

Tool Count2/5

32 tools is a large surface for a survey tool, crossing the 25+ threshold. Many key-management and webhook-delivery tools feel like a separate API admin surface rather than core survey workflow.

Completeness4/5

The core survey flow is well covered: create job, capture contact/access/date, upload video, edit inventory, approve, book, and report outcome. Minor gaps like no cancel/delete job or webhook subscription management are workarounds.

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