List monitors
monitors_listList the caller's monitors, optionally filtered by status.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| status | No |
monitors_listList the caller's monitors, optionally filtered by status.
| Name | Required | Description | Default |
|---|---|---|---|
| status | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations already declare readOnlyHint=true and openWorldHint=false, covering the safety and scope model. The description adds the useful behavioral detail that only the caller's monitors are listed, which is not fully obvious from the annotations. However, it does not disclose other behavioral aspects like pagination, sorting, or return format, which are typical for list operations. Given the annotations cover the primary traits, a 3 is appropriate.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, compact sentence that front-loads the core action ('List the caller's monitors') and appends the optional filter. There is zero redundancy; every word contributes to understanding. Ideal conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple list tool with one optional parameter, the description covers the essential action and filter. However, it lacks any information about the return payload (e.g., the structure of monitor objects, pagination, or ordering) since there is no output schema. Given the simplicity, the absence of these details is not critical, but the tool could be more self-contained by noting that the result is a list of monitors. Still adequate but not thorough.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With schema description coverage at 0%, the description must carry the meaning of parameters. It explicitly mentions the 'status' filter, which maps directly to the only property in the schema. While it does not enumerate the allowed values (the schema's enum does that), it clarifies that status is an optional filter, adding value beyond the raw schema. This is sufficient for a single-parameter tool.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('List'), the resource ('monitors'), and the scope ('the caller's monitors'), which distinguishes it from sibling tools like monitors_get (which likely retrieves a single monitor) and other monitor sub-resources like monitors_checks_list. The optional status filter is mentioned, providing a precise purpose.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies that this tool is for enumerating the caller's monitors and optionally filtering by status. However, it does not explicitly state when to use this tool over alternatives such as monitors_get or when filtering is advisable, nor does it mention any exclusions. The context is clear but not fully elaborated, leaving some inference to the agent.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
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.
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.).
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.
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.