usage_statistic
Retrieves the current user's API rate limits, including requests used and remaining requests.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieves the current user's API rate limits, including requests used and remaining requests.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It discloses that it returns 'requests used and remaining', which is useful. However, it doesn't mention details like rate limit reset time, headers, or error behavior. For a read-only stats endpoint, this is basic but adequate. A higher score would require additional context like pagination or rate limit window information.
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 sentence that is efficient and front-loaded. Every word earns its place: it names the resource, the action, and the output details. No fluff.
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?
The tool is simple (zero params, no output schema) and the description covers the core purpose. It could mention that the response format follows standard rate limit conventions, but given the simplicity, this is not a significant gap. Sibling tools are unrelated, so the description is complete enough for an agent to select and invoke it.
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 input schema has zero parameters, so the baseline is 4. The description confirms there is nothing to configure, which is correct. No additional parameter semantics are needed.
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 tool's purpose: 'Retrieves the current user's API rate limits'. It specifies the resource (API rate limits) and distinguishes this from sibling tools that deal with POI data, media, and search. The verb 'retrieves' is specific and unambiguous.
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 context signals show zero parameters and the description implies this is a simple, safety-check tool for rate limits. While it doesn't explicitly mention when to use it vs alternatives, the sibling tools are all about content retrieval (get_details, get_media_gallery, etc.), making it obvious this is for API usage monitoring. It would benefit from an explicit 'use this to check your API limits' but the context makes it clear enough.
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.
While most tools have clear specific purposes, 'get_details' overlaps with 'get_poi_full_about' and could be confused with the more specific getters like 'get_poi_amenities' or 'get_poi_reviews'. The distinction between a generic details endpoint and a detailed metadata profile is not immediately obvious.
The naming convention is mixed: most tools use a 'get_' prefix (get_details, get_media_gallery, get_poi_*), but 'search_listings', 'typeahead', and 'usage_statistic' break that pattern. The verbs are also inconsistent (get vs search vs typeahead), making the set feel less predictable.
With 8 tools, the server is well-scoped for a travel and POI information service. Each tool serves a distinct purpose in the overall workflow of searching, retrieving details, and viewing ancillary data like media, amenities, and reviews. No tools feel redundant or excessive.
The toolset covers the core needs for exploring Points of Interest: search/typeahead, detailed information, media, amenities, reviews, and API usage stats. A minor gap is the lack of a direct 'get_poi_by_id' function, but 'get_details' likely covers that. The available tools form a coherent workflow without major dead ends.