debug-dap-mcp
Server Quality Checklist
Latest release: v0.1.0
- Disambiguation5/5
There is only one tool, so no ambiguity exists between tools. The 31 DAP actions are internal parameters, not separate tools.
Naming Consistency5/5The single tool name `debug` is concise and matches the server's purpose. With only one tool, there is no conflicting naming pattern.
Tool Count2/5The entire DAP protocol is packed into one mult-i purpose dispatch tool, which feels too few for the apparent scope. A single optool acts as a god-parameter surface rather than a discoverable set.
Completeness5/5The 31 actions likely cover the core DAP request lifecycle (launch, attach, breakpoints, stepping, evaluation, etc.), enabling complete debugging workflows. As a single control surface, there are no obvious dead ends.
Average 3.4/5 across 1 of 1 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 6 commits in the last 12 weeks
- No stable releases found
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI status not available
This repository is licensed under MIT License.
This repository includes a README.md file.
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How is the quality score calculated?
The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).
Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.
Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).
Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.
Tool Scores
- Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden of behavioral disclosure. It does disclose that the tool returns a JSON payload mirrored as structuredContent and explains session targeting defaults. However, it does not mention side effects (e.g., process launch, memory writes, mutation) or failure/error behavior for such a powerful, stateful DAP surface.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
Three concise sentences: the first establishes the core protocol and invocation model, the second covers return behavior, and the third explains session lifecycle and targeting. Every sentence earns its place, and the most important information is front-loaded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the high complexity (38 parameters, 31 actions, no output schema, no annotations), the description is too sparse to be complete. It provides a useful high-level orientation but omits action-to-parameter mappings, required DAP adapter configuration, and return payload details. An agent would need substantial external DAP knowledge to invoke this correctly across actions.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0% across 38 parameters, and the description barely compensates. It states that actions take 'their camelCase parameters' and calls out sessionId's default, but does not map actions to their required or relevant parameters. For a tool with this many parameters, an agent has almost no semantic guidance beyond raw parameter names.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly identifies the tool as a DAP control surface and explains that calls consist of an action plus its parameters, which distinguishes it from generic debugger operations. It is specific about the protocol (DAP) and the action-driven invocation model. It stops short of a 5 because there are no siblings to differentiate against, so the comparative clarity can't earn full credit.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides useful usage context: sessions are started via launch/attach and are targeted by sessionId, defaulting to the focused session. This gives an agent actionable guidance on how to invoke it. There are no explicit when-not or alternative-tool statements, but with no sibling tools that is less critical.
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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- Evaluate tool definition quality.
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