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Find the right tool for a task

what_can_you_do
Read-onlyIdempotent

Describe a task in plain language (any language) and get back exactly which tools on this server do it, with ready-to-run example calls — instead of reading the whole catalogue and guessing. Also returns multi-step recipes when a task needs several tools chained (invoices to a ledger, a bank statement reconciled, a messy CSV turned into a deliverable). Deterministic and free: it calls no model, costs nothing, and never runs out of quota. Call this FIRST when you are not sure what this server offers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskYesWhat you are trying to do, e.g. "reconcile a bank statement against my books" or "把一堆发票整理成能入账的表格"

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.7/5.0
Behavior5/5

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

Although annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, the description adds valuable non-obvious behavioral context: 'Deterministic and free: it calls no model, costs nothing, and never runs out of quota.' This informs the agent about cost, reliability, and independence from model quotas, going beyond what annotations provide.

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 three sentences, each adding distinct value: the core function, the multi-step recipe capability, and operational characteristics (free/deterministic). It is front-loaded with the most critical information and contains no redundancy or fluff.

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

Completeness5/5

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

The tool is simple with one parameter, has annotations covering safety, and an output schema. The description provides complete context: what it does, when to use it, additional output capabilities, and cost/reliability characteristics. Nothing essential is missing.

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

Parameters4/5

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

The schema covers 100% of the single parameter with a clear description and examples, so the baseline is 3. The description goes further by emphasizing 'plain language (any language)', which clarifies that the parameter accepts natural language across languages, adding semantics not fully captured in the schema.

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 states exactly what the tool does: 'Describe a task in plain language... and get back exactly which tools on this server do it, with ready-to-run example calls.' This clearly distinguishes it from the sibling utility tools, which perform specific operations rather than tool discovery.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly says 'Call this FIRST when you are not sure what this server offers', providing clear context for when to use. It also contrasts with the alternative of 'reading the whole catalogue and guessing'. However, it does not explicitly state whhen not to use it (e.g., when you already know the exact tool), so it lacks explicit exclusions.

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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TDQS

A3.8/5.0
Disambiguation4/5

Most tools have clear, separate purposes: diff, redact, regex, JWT, SQL, timezone, units, QR, screenshot. The main overlap is between json_format and validate_json, since both parse and validate JSON, though their outputs differ enough to be workable.

Naming Consistency4/5

The majority follow a clear snake_case verb_noun or noun_verb pattern like diff_text, transpile_sql, and timezone_convert. sql_from_description and what_can_you_do break the pattern, but the rest is predictable and readable.

Tool Count5/5

14 tools is well-scoped for a general-purpose developer utility server. Each tool covers a distinct practical need, and the count does not feel bloated for the breadth of features offered.

Completeness4/5

The toolkit covers a broad range of everyday dev utilities: text diffing, redaction, regex, JSON/YAML, SQL, time, units, JWT, QR, and screenshots. Some common basics like base64, hashing, or URL encoding could be useful additions, but the surface is complete enough for its stated purpose.