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hjanuschka

Chromium CodeSearch MCP

by hjanuschka

get_pdfium_gerrit_cl_trybot_status

Check try-bot test results for PDFium code changes, showing pass/fail counts and individual bot status to monitor review progress.

Instructions

Get detailed try-bot status for a PDFium Gerrit CL, including individual bot results and pass/fail counts

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cl_numberYesCL number or full Gerrit URL (e.g., '12345' or 'https://pdfium-review.googlesource.com/c/pdfium/+/12345')
patchsetNoOptional specific patchset number to get bot status for (if not specified, gets status for latest patchset)
failed_onlyNoOnly return failed bots (default: false)
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions 'detailed try-bot status' and 'individual bot results and pass/fail counts', which gives some behavioral insight, but doesn't disclose critical traits like whether this is a read-only operation, rate limits, authentication needs, error handling, or response format. For a tool with no annotations, this leaves significant behavioral gaps.

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?

The description is a single, efficient sentence that front-loads the core purpose without unnecessary words. Every part earns its place: it specifies the action, resource, and key details (individual bot results, pass/fail counts) in a compact format.

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?

Given no annotations and no output schema, the description provides basic purpose but lacks completeness for a tool with 3 parameters. It doesn't cover behavioral aspects like safety, response structure, or error conditions. While concise, it's insufficient for full contextual understanding without structured support.

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 100%, so the schema already fully documents all three parameters (cl_number, patchset, failed_only). The description adds no additional parameter semantics beyond what's in the schema, such as format examples or usage nuances. Baseline 3 is appropriate when schema does the heavy lifting.

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 specific action ('Get detailed try-bot status'), resource ('for a PDFium Gerrit CL'), and scope ('including individual bot results and pass/fail counts'). It distinguishes from sibling tools like 'get_gerrit_cl_trybot_status' by specifying PDFium context and from 'get_pdfium_gerrit_cl_status' by focusing on try-bot details rather than general CL status.

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?

The description implies usage context (PDFium Gerrit CL try-bot status) but doesn't explicitly state when to use this tool versus alternatives like 'get_gerrit_cl_trybot_status' or 'get_pdfium_gerrit_cl_status'. It provides no guidance on prerequisites, exclusions, or specific scenarios where this tool is preferred over 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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