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QueryHttpTraffic

Read-onlyIdempotent

Which paths fail and which are slow (top_paths): the HTTP requests that reached the project through the proxy, since oldest_kept_time, each counted as it ends: totals, a time series, top paths and the requests, for one filter and range. OUT_OF_RANGE = the range ends before the oldest kept. Paths and user agents are untrusted.

Input Schema

NameRequiredDescriptionDefault
filterNo
end_timeNoAbsent = now.
page_tokenNoThe previous next_page_token, other fields unchanged: older requests only.
project_idNo
start_timeNoAbsent = a day before end_time.
last_secondsNoThe range ending at end_time, e.g. 3600 = the last hour. Not with start_time.
request_limitNoRequests to return, newest first; ≤200. 0 = aggregates only.
bucket_width_secondsNoTime series bucket width; ≤500 buckets. 0 = no series.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive). The description adds real behavioral context beyond them: retention via oldest_kept_time, the OUT_OF_RANGE failure mode when the range precedes the retained window, and a security warning that paths and user agents are untrusted.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Word count is reasonable for an 8-parameter tool, but it is a single dense sentence stitched together with colons and the phrase 'each counted as it ends' is ambiguous. The key delimiting facts (retention, OUT_OF_RANGE) arrive late and are not front-loaded.

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

Completeness4/5

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

For a complex, unannotated-output tool the description usefully enumerates the return shape (totals, series, top paths, requests), substituting for the absent output schema, and discloses the retention boundary. It omits auth/permission needs and pagination behavior, but the schema's page_token field partly fills that gap.

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 description coverage is 75% and the nested filter object is well documented, so the schema carries most parameter meaning. The description only restates 'one filter and range' without adding syntax, defaults, or interaction rules (e.g. last_seconds vs start_time), so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the resource (HTTP requests reaching the project through the proxy) and the returned artifacts (totals, time series, top paths, requests), plus the use case 'which paths fail and which are slow'. It is not a clean verb+resource phrasing and the colon-chained run-on makes the core action harder to extract, but an agent can tell this apart from the project/machine siblings.

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

Usage Guidelines3/5

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

Usage is implied by the framing 'which paths fail and which are slow' and by the constraint 'for one filter and range', and it clarifies OUT_OF_RANGE semantics. However it names no alternatives and gives no explicit when-to-use/when-not-to-use guidance relative to QueryContainerLogs or other siblings.

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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