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Get network requests

get_network
Read-onlyIdempotent

The page's requests with status and timing, and why failed ones failed (CORS, GraphQL errors). Each starts with a #id for get_request. sockets lists WebSocket and EventSource connections and their messages instead.

Input Schema

NameRequiredDescriptionDefault
toNoA time into the recording: 1:22, 82s, 82000ms or milliseconds
fromNoA time into the recording: 1:22, 82s, 82000ms or milliseconds
searchNoOnly lines containing this text, ignoring case
socketsNo
recordingYesThe Faylee link as pasted (share, embed or dashboard URL, with or without ?t=), or a recording id
failed_onlyNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
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), so the description adds value by disclosing output characteristics: failures come with a diagnosis (CORS, GraphQL errors) and each entry carries a #id usable with get_request. It does not mention ordering, limits, or how from/to interact with the result set.

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

Conciseness4/5

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

Three tight sentences with the core payload front-loaded and the two follow-up hints (id prefix, sockets mode) appended. No redundancy; the final clause ('sockets lists ... instead') is slightly compressed but still readable.

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?

With no output schema, the description carries the return-value burden and does it well: what each entry contains, why failures appear, and how ids are formatted. The remaining gap is default behavior when sockets/failed_only are omitted and whether results are truncated.

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

Parameters4/5

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

Schema coverage is 67% and the uncovered parameters are sockets and failed_only. The description meaningfully explains sockets (WebSocket and EventSource connections and their messages instead of HTTP requests), compensating for the gap there, and 'why failed ones failed' implies failed_only without stating it explicitly.

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?

States a specific resource (the page's network requests) plus the payload it returns (status, timing, failure reasons) and explicitly contrasts its output with the sockets mode. It also names the sibling get_request and explains the linkage via the #id prefix, so an agent can distinguish it from related tools without reading schemas.

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

Usage Guidelines4/5

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

Implicitly routes the agent: use this for the request list, then get_request for a single request's detail, and set sockets to inspect WebSocket/EventSource traffic instead. It lacks an explicit when-not-to-use statement (e.g. versus get_console for errors), but the alternative is named and actionable.

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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