Get rate limit
deepinfra_get_rate_limitGet the account's current rate limits (per-model / per-endpoint request and token limits). DeepInfra REST: GET /v1/me/rate_limit.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
deepinfra_get_rate_limitGet the account's current rate limits (per-model / per-endpoint request and token limits). DeepInfra REST: GET /v1/me/rate_limit.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Input schema / $schemaPrevious value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The readOnlyHint=true annotation already establishes the safety profile, so the description only needs to add context. It does add the granularity of returned data (per-model/per-endpoint, request vs token limits) and the underlying REST endpoint, but says nothing about auth requirements, throttling of the call itself, or freshness of the values.
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?
Two short sentences, front-loaded with the purpose. The trailing 'DeepInfra REST: GET /v1/me/rate_limit' mapping is mildly redundant for an agent but small and potentially useful for debugging.
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 parameterless read with no output schema, the description covers what the tool does and roughly what it returns. It stops short of describing the response shape or the scope of 'account', but nothing critical for invocation is missing.
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 tool takes zero parameters, so there is nothing to document and the baseline is 4. Schema description coverage is 100% and no additional parameter guidance is 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?
Specific verb ('Get') plus resource ('account's current rate limits') with a clarifying parenthetical that the limits are per-model/per-endpoint request and token limits. This clearly distinguishes it from siblings like deepinfra_get_usage, deepinfra_get_usage_tokens, and deepinfra_get_account.
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 the use case (fetch current limits) but gives no explicit when-to-use guidance, no prerequisites, and names no alternatives among siblings such as the usage-related tools. Adequate but leaves routing to inference.
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.