Get a monitor
monitors_getGet one monitor by id.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
monitors_getGet one monitor by id.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds minimal behavioral information beyond the annotations. readOnlyHint=true already covers the read-only nature, and openWorldHint=false is not explained. The description does not disclose potential errors, return format, or side effects, but for a simple get operation this is acceptable given the annotation coverage.
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, concise sentence with no redundant wording. It front-loads the verb and resource, making the purpose immediately clear. There is no filler or unnecessary details.
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 read-only tool with one parameter, the description is essentially complete. It states what it gets and by what key. Without an output schema, a note on return format could be helpful but is not critical since 'Get one monitor' implies the monitor object is returned. The annotation readOnlyHint provides safety context. Overall, an agent has enough to call this tool correctly.
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?
The schema has 0% description coverage for the 'id' parameter, so the description must compensate. The phrase 'by id' clarifies that the 'id' parameter is the monitor's identifier, which adds some meaning. However, it does not elaborate on the format, source, or uniqueness constraints beyond the schema's basic string type. This is minimal but adequate for a simple parameter.
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 verb 'Get', the resource 'monitor', and the identifying criterion 'by id'. This distinguishes it from siblings like monitors_list (list all) and monitors_create (create), and it is unambiguous about the operation.
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?
No explicit usage guidance is provided. The description does not mention when to use this tool versus alternatives like monitors_list, monitors_checks_list, or monitors_events_list. It implies that it is for fetching a specific monitor by id, but the guidance is not stated, leaving the agent to infer.
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.