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Request a Google Business Profile edit

request_profile_update
Destructive

Ask the user to approve changing one profile field on Google. Use the same value shape that get_business_profile returns for that field (text for description/phone/website; arrays/objects for hours, special hours, services and categories). Returns an approval link; Google may still review the change.

Input Schema

NameRequiredDescriptionDefault
fieldYes
valueNo
profile_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

With annotations already declaring destructiveHint=true, openWorldHint=true and idempotentHint=false, the description adds real context the agent couldn't otherwise know: the call does not apply the change directly, it returns an approval link requiring human action, and Google may still review the edit afterward. It doesn't state that the new value overwrites the existing field or what happens if a prior request is pending, which is the remaining gap for a destructive mutation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

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

Three sentences, front-loaded with the action and constraint, then the parameter-shape hint, then the return/risk note. No sentence restates the name or title and nothing could be removed without losing information.

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

Completeness4/5

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

For a 3-parameter destructive open-world tool with no output schema, the description covers the approval flow, the value shape source, the return artifact, and external review risk. It is nearly complete; only overwrite semantics, pending-request behavior, and approval-link lifetime are left unstated.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% and the 'value' parameter is an untyped empty object, so the description carries the burden and does well: it maps value shape to each enum field (text for description/phone/website; arrays/objects for hours, special hours, services, categories) and tells the agent to mirror get_business_profile's output. It still leaves the internal structure of the array/object fields unspecified, and says nothing about profile_id beyond it being required.

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 and resource ('Ask the user to approve changing one profile field on Google') and bounds scope to a single field. An agent can distinguish this from list_profile_changes and request_profile_change_decision without opening either schema, because it makes clear this initiates the edit rather than reading or deciding on one.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives clear context for when to call it (requesting a user-approved change to one field) and points to get_business_profile as the source of the correct value shape. It does not name explicit exclusions or alternatives (e.g. when to use request_profile_change_decision instead, or that multi-field edits require separate calls), so it stops short of full routing guidance.

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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