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TGGET Niche Research

by io.tgget
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Run Signal

run_signal

Adds one check to a finished research and returns the id of the new child research. Use it when the scan skipped a stage, when a person asks about one phrase in particular, or to rebuild the report after new checks. A niche scan already runs the usual checks by itself, so this tool is for what is missing. Checks added this way are free: they do not spend researches of the plan.

Checks of a demand research (kind):

  • competitors: who holds the search results for a phrase of the research; pass the phrase in phrase.

  • dynamics: two years of demand history.

  • appstore: App Store apps for the phrase with ratings and freshness.

  • wiki, radar, youtube: public interest and community signals.

  • paid: paid search for the phrase and its strongest candidates: volume, advertiser competition, cost per click.

  • insight: a summary of the findings written by the language model.

  • report: the final niche report, written anew from the current data; needs a finished niche scan.

Checks of a child research:

  • fingerprint: product sites found by a competitors check, with pricing and app links; the parent is that competitors check.

  • reviews: recent App Store reviews of the leaders; the parent is an App Store research.

  • insight also accepts a competitors check as the parent.

The parent must be completed and belong to the account. The check runs in the background: poll get_research with the returned id every 20-30 seconds until status is completed. insight and report are rebuilt at most once an hour.

Input Schema

NameRequiredDescriptionDefault
idYesId of the completed research the check is added to, as returned by start_research, get_research or list_research.
kindYesWhich check to add. competitors, dynamics, appstore, wiki, radar, youtube, paid and report need a demand research as the parent; fingerprint a competitors check; reviews an App Store research; insight a demand research or a competitors check.
localeNoOnly for insight and report: language of the text. Defaults to the language the research was started with, then to the language of the account.
phraseNoOnly for competitors: the phrase whose search results are checked, the phrase of the parent or one of the phrases it and its sub-topics found. Defaults to the phrase of the parent. Ignored by the other checks.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / phrase / description
      Previous value: -"Only for competitors: the phrase whose search results are checked, usually one of the candidate phrases of the parent. Defaults to the phrase of the parent. Ignored by the other checks."New value: +"Only for competitors: the phrase whose search results are checked, the phrase of the parent or one of the phrases it and its sub-topics found. Defaults to the phrase of the parent. Ignored by the other checks."
  2. Changed4 schema fields changed
    • changedInput schema / properties / id / description
      Previous value: -"Id of the completed parent research."New value: +"Id of the completed research the check is added to, as returned by start_research, get_research or list_research."
    • changedInput schema / properties / kind / description
      Previous value: -"Which check to run."New value: +"Which check to add. competitors, dynamics, appstore, wiki, radar, youtube, paid and report need a demand research as the parent; fingerprint a competitors check; reviews an App Store research; insight a demand research or a competitors check."
    • changedInput schema / properties / locale / description
      Previous value: -"For \"insight\" and \"report\": language of the text. Defaults to the language the research was started with, then to the interface language of the account."New value: +"Only for insight and report: language of the text. Defaults to the language the research was started with, then to the language of the account."
    • changedInput schema / properties / phrase / description
      Previous value: -"For \"competitors\": the phrase to check competitors for (one of the parent's candidate phrases). Defaults to the parent phrase."New value: +"Only for competitors: the phrase whose search results are checked, usually one of the candidate phrases of the parent. Defaults to the phrase of the parent. Ignored by the other checks."
  3. First observed

TDQS

A4.8/5.0
Behavior5/5

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

No annotations are provided, so the description carries the full burden and does so: it discloses that the check runs in the background, instructs polling get_research every 20-30 seconds until status is completed, states the parent must be completed and owned by the account, and flags a rate limit ('insight and report are rebuilt at most once an hour'). It also clarifies that checks do not consume plan researches.

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 core action and the when-to-use rationale are front-loaded, and the kind list is cleanly bulleted for scannability. It is long, justified by 11 enum values, but a few statements (parent-type requirements, locale defaults) duplicate the schema descriptions, adding mild redundancy.

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

Completeness5/5

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

With no output schema, the description still explains the return value (the new child research id), how to retrieve results (poll get_research), and the preconditions on the parent. For a background-job spawning tool with 11 kinds, nothing an agent needs to call it correctly is missing.

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 100%, so the baseline is 3, but the description adds substantive meaning: it explains what each `kind` value actually does, which parent research type each kind requires, when `phrase` applies and that it is ignored otherwise, and how `locale` defaults cascade. Some of this overlaps the schema enum description, keeping it below 5.

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 ('Adds one check to a finished research') plus the return value ('the id of the new child research'). The sibling tools (start_research, get_research) are implicitly distinguished because this is the only one that appends a single check to an existing research.

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

Usage Guidelines5/5

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

Gives explicit when-to-use conditions ('when the scan skipped a stage', 'one phrase in particular', 'rebuild the report after new checks') and an explicit when-not ('A niche scan already runs the usual checks by itself, so this tool is for what is missing'). It also routes follow-up behavior to get_research and notes checks are free of plan cost.

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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