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parse_diagnostics

Parses known Verilator diagnostic lines from supplied text, optionally limiting results, to help identify RTL simulation and verification issues.

Instructions

Распознать известные диагностические строки с ограничением размера.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "text": "<text>"
    },
    "name": "parse_diagnostics"
  }
}

Input Schema

NameRequiredDescriptionDefault
textYes
limitNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.0.1

TDQS

C2.7/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It hints that only 'known' patterns are recognized and that processing is capped by a size limit, but it never says whether unmatched input is dropped, what happens when input exceeds the limit, or how errors are surfaced. For a parsing tool with zero annotation coverage this leaves major gaps.

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?

A single short sentence with no wasted words and the core action front-loaded. However, the terseness reads as under-specification rather than efficient communication, and the size-limit clause is tacked on without explaining its relation to the limit parameter.

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?

An output schema exists, so return values need not be explained, and only two parameters are involved. Still, the definition never clarifies what 'diagnostic strings' means in this server's domain or how the limit affects parsing, which is the main thing an agent needs to invoke it correctly.

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

Parameters2/5

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

Schema description coverage is 0%, so both parameters (text, limit) rely on the description for meaning. 'С ограничением размера' loosely gestures at the limit parameter, but units are unspecified (character count, input size, or number of matches) and the text parameter is not described at all. It partially compensates at best.

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?

States a concrete verb (recognize/parse) applied to a concrete resource (known diagnostic strings) plus a scope constraint (size limit). What counts as a 'known' diagnostic string is left undefined, and the sibling tools (server_info, tool_status) are unrelated utilities, so no differentiation is needed. The purpose is clear enough to act on but not fully specific.

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?

There is no when-to-use guidance, no exclusions, and no mention of alternatives or prerequisites. The only usage-adjacent information is the size-limit constraint, which is a behavior, not a routing rule. An agent has to guess whether this tool is meant for logs, compiler output, or arbitrary text.

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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