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funkyfunc

browser-dvr-mcp

by funkyfunc

query_session_telemetry

Extract specific failing network, console, mutation, interaction, or navigation events from a recorded browser session using category filters to surgically isolate errors without overwhelming your context.

Instructions

PROGRESSIVE DISCLOSURE DRILL-DOWN. If get_session_summary flags errors, use this tool to surgically extract the specific failing events without flooding your context window.

CATEGORIES: • network — All request/response events. Filters: "failed" | "slow" | "api" | "status:NNN" | URL text search • console — All console output. Filters: "errors" | "warnings" | text search • mutations — DOM mutation events. Filters: "structural" | "attributes" | elementId • interactions — Agent and human interactions. Filters: "clicks" | "typing" | "keys" • navigation — Page navigation history (no filters)

EXAMPLES: • query_session_telemetry({ category: "network", filter: "failed" }) — Get only failed network requests. • query_session_telemetry({ category: "console", filter: "errors" }) — Get only console errors. • query_session_telemetry({ category: "network", filter: "status:500" }) — Get only 500 errors. • query_session_telemetry({ category: "network", filter: "api/users" }) — Search by URL substring.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filterNoFilter within the category (see description for valid filter values per category)
categoryYesTelemetry category to drill into
Behavior4/5

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

Despite no annotations, the description discloses it is a read operation that retrieves telemetry data without side effects. It mentions it avoids flooding context, but lacks details on authorization, rate limits, or data retention.

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?

Description is concise, well-structured with categories and examples. Front-loaded purpose, every sentence adds value, no redundancy.

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?

No output schema, but description provides sufficient detail for correct invocation. However, it does not describe the return format or pagination. Contextually complete for the tool's purpose.

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

Parameters5/5

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

Schema has 100% coverage, but the description adds significant value by explaining valid filter values per category, providing concrete examples and enhancing understanding beyond schema.

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?

The description clearly states the tool is for progressive disclosure drill-down to extract specific failing events after get_session_summary flags errors. It distinguishes itself from siblings like get_session_summary by focusing on surgical extraction.

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

Usage Guidelines5/5

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

Explicitly states when to use: after get_session_summary flags errors. Provides categories and filters with examples, guiding the agent on how to use it effectively.

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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