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Crawl a New Profile

crawl_profile

Submits a public profile for crawling: profile metadata plus its recent posts, stats and thumbnails, after which it stays tracked and appears in searches. Asynchronous. Returns a job reference for get_job_status. If the profile is already tracked, this returns immediately without charging a full crawl. Credits are refunded automatically when a crawl fails. Cost: 40 credits per call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
handleYes
platformYes

TDQS

A4.3/5.0
Behavior5/5

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

Annotations only indicate non-read-only, non-idempotent, and open-world. The description adds significant behavioral disclosures: asynchronous processing, job reference return, no charge for already-tracked profiles, automatic refund on failure, and cost of 40 credits. 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.

Conciseness5/5

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

The description is compact and front-loaded, with the primary action and scope in the first sentence. Each subsequent sentence adds essential operational detail (async, return type, duplicate handling, refunds, cost) without extraneous words.

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?

The description covers the crawling scope, asynchronous job reference, duplicate behavior, cost, and failure refunds. The only minor gap is not specifying what exactly is returned when the profile is already tracked, but the overall information is sufficient for a complex tool.

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

Parameters2/5

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

The input schema has bare properties (handle, platform) with no descriptions, and schema description coverage is 0%. The description provides no additional meaning for the handle format or platform choices beyond the enum, failing to compensate for the lack of schema documentation.

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 a specific action ('Submits a public profile for crawling') and defines what is included: profile metadata, recent posts, stats, and thumbnails. It also distinguishes the tool by explaining the post-crawl behavior (stays tracked and appears in searches), setting it apart from siblings like get_profile or track_profile.

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?

The description provides clear context: asynchronous execution, use with get_job_status, immediate return for already-tracked profiles, and credit cost. It does not explicitly name alternative tools for scenarios like simply fetching a profile, but the use case is well implied.

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

A3.9/5.0
Disambiguation4/5

Most tools have clearly distinct purposes (search, profile management, post retrieval, async jobs, billing). Some overlap exists among get_trending_outliers, niche_trends, and search_outliers, but their descriptions differentiate free/unauthenticated, niche-specific, and filtered search, so an agent can usually pick correctly.

Naming Consistency4/5

The vast majority of tool names follow a verb_noun pattern (crawl_profile, get_post, remix_post, track_profile). The main exception is 'niche_trends', which is a noun phrase, and the minor spelling of 'topup' instead of 'top_up'. Otherwise, naming is consistent enough to predict tool behavior.

Tool Count4/5

At 21 tools, this is slightly above the typical 3-15 range, but the broad scope (search, crawling, tracking, media handling, transcripts, remixing, billing) justifies the number. Each tool serves a distinct function, and none feel redundant, so the count is reasonable for the domain.

Completeness3/5

The tool set covers the core workflow well: searching outliers, crawling/tracking profiles, fetching posts/media/transcripts, and generating remixes. However, there is no way to list all posts for a specific profile (only 'recent tracked posts' via get_profile and an incremental feed via get_tracked_updates), which is a notable gap for deep creator analysis.

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