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Accept discovered suggestions

accept_keyword_discovery

Accept one discovered suggestion (domain) or a batch (domains): each becomes a tracked keyword of the tracker, in place, and its series starts at the next survey. Refused with keyword_cap_reached when the batch would exceed the keyword cap, and with not_found when a domain is not currently suggested (the batch is all-or-nothing, nothing is added then). The answer carries keyword for a single domain, keywords for a batch. Accept on behalf of the user only when they said yes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainNoOne domain to act on, exactly as listed by list_keyword_discoveries. Send this OR domains, never both.
domainsNoSeveral domains to act on in one call, each exactly as listed by list_keyword_discoveries. Send this OR domain, never both. ALL-OR-NOTHING: one invalid domain refuses the whole batch, so you never have to guess which half took.
tracker_idYesThe UUID of the tracker: call list_trackers to find it.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Adds context beyond annotations: all-or-nothing batch behavior, in-place update, series start timing, and error scenarios. No contradiction with 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?

Mostly concise and front-loaded, but slightly redundant with 'all-or-nothing' mentioned twice. Still efficient overall.

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

Completeness2/5

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

No output schema provided, and description only vaguely mentions returned keys ('keyword' or 'keywords') without specifying structure. Missing clear return value details.

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% and description reinforces mutual exclusivity and all-or-nothing, but does not add significant new meaning beyond schema.

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?

The description clearly states the tool accepts discovered suggestions (domains) to become tracked keywords, distinguishing it from siblings like dismiss_keyword_discovery and list_keyword_discoveries.

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?

Explicitly says to accept only when user says yes, and mentions error conditions (keyword_cap_reached, not_found). Does not explicitly contrast with dismiss tool but context implies it.

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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