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meob

Euclid-MCP

by meob

diagnose

Diagnose query failures and successes with modes for why, why not, and what needs to change to achieve success.

Instructions

Diagnose why a query succeeds or fails. Modes: 'why' (explain success), 'why_not' (explain failure), 'what_needs' (what would make it succeed)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNowhy
kb_idNo
queryNo
knowledgeNo
max_depthNo
max_solutionsNo
delta_knowledgeNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNo
errorNo
holdsNo
proofNo
queryNo
versionNo
findingsNo
solutionsNo
conclusionNo
elapsed_msNo
content_hashNo
Behavior2/5

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

With no annotations provided, the description must disclose behavioral aspects itself. It only mentions the diagnostic purpose and modes, but omits any side effects, resource implications, authentication needs, or what the output contains. This is a significant gap for a diagnostic tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely short (one sentence), but it omits critical parameter explanations. While concise, it under-specifies the tool's usage, making it ineffective. The structure lacks a clear breakdown of modes and parameters, so it does not serve as a useful guide.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With 7 parameters, no annotations, and no schema descriptions, the description is grossly incomplete. It fails to explain what each parameter does, what the output contains, or how the tool behaves in different contexts. The presence of an output schema does not compensate for missing parameter semantics.

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

Parameters1/5

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

The schema has 0% description coverage Dominic, and the description does not explain any of the 7 parameters except 'mode' implicitly. Parameters like kb_id, query, knowledge, max_depth, max_solutions, and delta_knowledge are left undefined, making it impossible to use the tool correctly without external knowledge.

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?

The description clearly states the tool's action ('Diagnose') and resource ('why a query succeeds or fails'), and lists specific modes that further clarify purpose. However, it does not explicitly differentiate from sibling tools like 'explain' or 'what_if', so it loses some points on distinction.

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?

The description lists modes but provides no explicit guidance on when to use this tool versus alternatives like 'explain' or 'what_if'. It does not state prerequisites, typical scenarios, or exclusions, leaving the agent without clear selection criteria.

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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