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Get Profile Stats

get_profile
Read-onlyIdempotent

Fetch one tracked profile by id: follower count, bio, average views/likes/engagement across time windows, and recent tracked posts. The averages are the baseline outlier scores are computed against. Use search_profiles first to resolve a handle to an id. Cost: 1 credit per call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
handleNo
platformNoWith handle: look up by handle instead of id
profileIdNoProfile id from search results

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare read-only and idempotent hints, but the description adds valuable behavioral context: it requires the profile to be 'tracked', it costs 1 credit per call, and it clarifies that the averages serve as the baseline for outlier scores. This goes beyond the annotations without contradicting them.

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 three sentences: purpose, content details, and workflow/cost. Every sentence is useful and front-loaded, with no filler or repetition.

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 read-only single-profile fetch, the description covers what data is returned (followers, bio, averages, recent posts), explains the meaning of averages, and includes cost and the prerequisite search step. It lacks details on time window definitions and post count limits, but these are minor for a fetch operation with no output schema.

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 descriptions cover platform and profileId clearly, and the description reinforces that profileId comes from search results. However, the handle parameter has no schema description and the tool description doesn't clarify its semantics beyond the workflow note. With 67% schema coverage, the description partially compensates but not fully.

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 opens with 'Fetch one tracked profile by id', which is a specific verb+resource that clearly states the tool's function. It distinguishes itself from siblings like list_tracked_profiles by focusing on a single profile and from search_profiles by being the post-search retrieval step, reinforced by the direct instruction to use search_profiles first.

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 gives an explicit workflow ('Use search_profiles first to resolve a handle to an id') and mentions the cost per call, which helps decide when to invoke it. However, it does not explicitly contrast with alternative tools like list_tracked_profiles for bulk operations or note when not to use this 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

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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