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Get HTTP request count

render_get_http_requests
Read-onlyIdempotent

Retrieve HTTP request counts for Render resources, filtering by host, path, time range, and aggregation.

Instructions

Get HTTP request count. Get the HTTP request count for one or more resources. Calls GET /metrics/http-requests on the Render Public API.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hostNoThe hosts of HTTP requests to filter to. When multiple host query params are provided, they are ORed together
pathNoThe paths of HTTP requests to filter to. When multiple path query params are provided, they are ORed together
endTimeNoEpoch/Unix timestamp of end of time range to return. Defaults to `now()`.
serviceNoThis parameter is deprecated. Please use `resource` instead (deprecated)
resourceNoService ID to query. When multiple service ids are provided, they are ORed together
startTimeNoEpoch/Unix timestamp of start of time range to return. Defaults to `now() - 1 hour`.
aggregateByNoThe field to aggregate by
resolutionSecondsNoThe resolution of the returned data
Behavior3/5

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

Annotations already provide readOnlyHint, openWorldHint, idempotentHint. Description adds the API endpoint and 'for one or more resources', but no additional behavioral traits (e.g., rate limits, filtering behavior). Adequate but not exceptional.

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?

Two concise sentences front-load the purpose and method. No redundant or unnecessary text. Each sentence adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a metrics tool with 8 parameters and no output schema, the description could explain the returned count (e.g., raw count vs time series) or pagination. It covers the core usage but leaves gaps for an agent to infer.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline 3 applies. Description adds no parameter-specific meaning beyond what's in the schema; it only loosely refers to resources. No compensation needed.

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?

Clear verb 'Get' and resource 'HTTP request count' with specific detail on resources and API endpoint. Distinguishes from sibling metrics tools like get_cpu and get_memory by focusing on HTTP requests.

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

Usage Guidelines2/5

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

No explicit guidance on when to use vs alternatives (e.g., render_get_http_latency) or when not to use. The description only states what it does, not context for selection.

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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