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Create a monitor

monitors_create

Watch a social account or search and get a signed webhook when new content appears. Runs a synchronous baseline check on create — the response includes what's there right now, and you'll only get webhooks for items after that.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo
typeYesinterval or cron.
paramsYesParams for the source, e.g. { handle: "elonmusk" }.
minutesNoRequired when type is interval.
timezoneNoIANA timezone, required when type is cron.
expressionNoCron expression, required when type is cron.
operationIdYesA watchable operationId from monitors_sources_list.
spendCapCreditsNo
webhookEndpointIdNo

TDQS

A3.9/5.0
Behavior4/5

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

Annotations only specify readOnlyHint=false and openWorldHint=false, offering little safety context. The description adds valuable disclosure about the synchronous baseline check on create, that the response includes current items, and that webhooks fire only for items after that point. It also mentions 'signed webhook,' which is a key behavioral detail. This goes beyond annotations and materially aids agent decision-making.

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 two sentences with no filler. The primary purpose and the critical baseline behavior are front-loaded, and every clause adds value. It is exemplary in efficiency and structure.

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?

There is no output schema, so the description carries the burden of explaining the response—it does so clearly ('the response includes what's there right now'). It also clarifies webhook delivery semantics (only new items) and the signed nature of webhooks. While it does not delve into parameter selection or edge cases, the core information an agent needs to understand the tool's behavior and return is present. Given the tool's complexity (nested params, 9 parameters), a bit more guidance on how to set up a monitor would be helpful, but it is not essential for typical use.

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?

Schema description coverage is 67% (6 of 9 params have descriptions in the schema), so the baseline for parameter semantics is moderate but not high. The description adds no information about any of the parameters—it never mentions operationId, params, type, or schedule fields. While the schema covers a majority of parameters, the description does not compensate for the remaining undocumented ones (e.g., spendCapCredits, webhookEndpointId) nor clarify the relationship between params and the 'social account or search' concept. This is a gap for a 9-parameter creation tool.

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 tool's verb and resource: 'Watch a social account or search and get a signed webhook when new content appears.' It makes the creation purpose explicit and distinguishes the tool from sibling monitors_* operations (get, list, update, delete, trigger) by focusing on 'create' semantics and the baseline-check behavior.

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

Usage Guidelines3/5

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

The description implies when to use this tool (to start watching a source), but it does not explicitly contrast it with related tools like monitors_trigger or monitors_update. There is no 'use this instead of X' guidance, so an agent must infer the appropriate context from the title and general knowledge. It is not misleading, but it leaves routing to the agent.

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

B3.4/5.0
Disambiguation5/5

Each tool is clearly scoped to a specific platform and action (e.g., facebook_post_get vs instagram_post_get). Descriptions explicitly differentiate similar tools across platforms, and within-a-platform tools like tiktok_search_videos_list vs tiktok_search_hashtag_list have clear disambiguation notes.

Naming Consistency5/5

All 167 tools follow a strict `platform_resource_action` pattern (e.g., youtube_video_comments_list). No mixing of styles—snake_case throughout, with consistent verb ordering (get, list, search, etc.).

Tool Count2/5

The server has 167 tools, which is far beyond the typical well-scoped range of 3-15. While the broad multi-platform scope justifies many tools, this extreme number makes the tool surface overwhelming and difficult for an agent to navigate efficiently.

Completeness4/5

The tool set covers a wide range of platforms and operations including profile retrieval, post/video fetching, comments, search, transcripts, and ad library access. Minor gaps exist (e.g., no Facebook events or LinkedIn messaging), but the surface is comprehensive for a read-only data aggregation use case.