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draco_ask

Ask DRACO a coding or security question. Answers are grounded in hundreds of real programming and hacking books, with [n] citations and source titles.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
questionYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It usefully discloses that answers are grounded in hundreds of programming/hacking books and returned with numbered citations and source titles, which is real behavioral context, but it says nothing about permissions, rate limits, or what happens when no grounding is found.

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?

Two tight sentences with no filler, and the core purpose is front-loaded. Efficiently sized for a single-parameter tool.

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?

An output schema exists, so the description need not explain return values, and it already hints at citations. For a one-parameter read-style tool, the main remaining gap is the absent guidance on when to prefer this over draco_search.

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 0% for the single 'question' parameter, so the description must compensate. It narrows the expected input to 'a coding or security question', which adds topical meaning beyond the bare schema, but gives no guidance on phrasing, length, or specificity.

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 specific verb ('Ask') and resource ('DRACO'), plus the domain (coding or security) and the answer shape (grounded in books, with citations and source titles). It is clear what the tool produces, though it never names how it differs from sibling draco_search.

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?

No explicit when-to-use or when-not-to-use guidance. The existence of siblings draco_search and draco_status implies a question-vs-search distinction, but the description leaves the agent to infer which one to pick for a given need.

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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