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Monitor a Profile

track_profile

Starts monitoring a profile so it is automatically re-crawled at a cadence you choose (daily, every_3_days or weekly), keeping its posts and stats fresh without you polling crawl_profile. Identify the profile by profileId, platform+handle, or a public profile/post URL. Managing monitoring is free; each scheduled refresh crawl costs credits (10 per refresh) and monitoring pauses itself if your balance runs out, then resumes when you top up. The profile must already be in the database; crawl_profile it first if it is not. Calling again on an already-monitored profile just updates the cadence. Pull the new posts with get_tracked_updates. Cost: free.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoPublic profile or post URL identifying the profile
handleNoPublic handle, without @ (pair with platform)
platformNoWith handle: resolve the profile to monitor
frequencyNoRefresh cadence (default weekly)
profileIdNoInternal profile id from search results

TDQS

A4.7/5.0
Behavior5/5

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

The annotations only indicate non-read-only, open-world, non-idempotent, non-destructive. The description adds rich context: credit costs (10 per refresh), auto-pause if balance runs out, resume on top-up, the prerequisite that the profile must exist, and idempotent-update behavior for repeat calls. This goes well beyond the structured 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?

The description is dense and front-loaded with the core function, then covers cost, prerequisites, update behavior, and follow-up. It avoids bloat, though there is minor redundancy ('Cost: free' at the end repeats the earlier 'Managing monitoring is free'). Overall efficient and well-organized.

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?

Despite having no output schema, the description covers prerequisites, cost, side effects, identification methods, and follow-up tools. It does not explicitly state what the tool returns (e.g., a confirmation or tracking ID), which is a minor gap, but the operational context is thorough enough for an agent to act correctly.

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 baseline is 3. The description adds meaningful usage context by explaining the three identification methods (profileId, platform+handle, URL) and that platform must be paired with handle. It also clarifies that frequency defaults to weekly and that calling again updates the cadence, which enriches the parameter semantics.

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 action ('Starts monitoring a profile') and the resource (a profile), with specific cadence options. It distinguishes itself from sibling tools by explicitly contrasting with crawl_profile and pointing to get_tracked_updates for retrieving updates.

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?

Provides explicit guidance: requires the profile to already exist, says to use crawl_profile first if not, explains that repeated calls update the cadence, and directs users to get_tracked_updates for pulling posts. This clearly frames when to use this tool versus alternatives.

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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