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meta-tools.search

Search live Vee3 agent tools by keyword or short task description.

Call this first when you are unsure which tool to use. Returns ranked matches with tool_name, summary, and cost for each hit. Use meta-tools.describe on the best match for full request and response schemas.

Optional group_id narrows results to one capability group. limit defaults to 8 (maximum 20).

Cost = 0 tokens.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum results to return (1–20).
queryYesKeywords or short task description (for example `tiktok video comments` or `domain availability`).
group_idNoOptional group id to narrow results (for example `x-twitter`).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoNormalized search query that was executed.
resultsNoRanked capability matches visible to the caller.

Schema Changelog

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

  1. Added

TDQS

A4.9/5.0
Behavior5/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure and does so well. It states the return shape (ranked matches with tool_name, summary, cost per hit), the default/maximum limit, the optional group_id narrowing, and that the cost is 0 tokens. This gives the agent accurate expectations for a non-mutating search tool.

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?

The description is compact and front-loaded with the core purpose. Every sentence adds value: usage timing, return fields, follow-up tool, parameter behavior, and cost. There is no redundant or filler text.

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?

The description is complete for a discovery/search tool. It explains what the tool does, when to call it, what results look like, how parameters affect behavior, and what to do next. The presence of an output schema relieves the need to enumerate return fields in detail, and the description complements it with practical usage guidance.

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, and the description adds meaning beyond the schema by explaining that group_id 'narrows results to one capability group' and that 'limit defaults to 8 (maximum 20)'. The query semantics are already well documented in the schema, so the description enhances rather than repeats.

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 'Search live Vee3 agent tools by keyword or short task description', providing a specific verb, resource, and scope. It distinguishes itself from sibling tools like list_all and describe by focusing on ranked keyword-based discovery and explicitly pointing to describe for full schemas.

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?

It gives explicit when-to-use guidance: 'Call this first when you are unsure which tool to use.' It also directs the agent to meta-tools.describe for full schemas, which is a clear next-step alternative. This is strong usage guidance for a discovery tool.

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

A4.1/5.0
Disambiguation5/5

Each tool has a distinct purpose, further clarified by group prefixes and clear descriptions. Within each group, tools perform different operations (e.g., domains.lookup vs. domains.whois vs. domains.rdap) with no ambiguity.

Naming Consistency5/5

All tools follow a consistent group.tool_name pattern using snake_case. The naming is predictable and uniformly applied across all groups.

Tool Count4/5

78 tools is high, but the server aggregates multiple distinct API domains (11 groups). Each group has a reasonable number of tools, typically under 10, with TikTok having 17. The count reflects breadth, not bloat.

Completeness5/5

Each domain's tool set covers the primary expected operations (e.g., search, details, reviews, metrics, user info). There are no obvious gaps for read-only analytical use; features like posting are likely out of scope.