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tascan_quickstart

One action to a genuinely verified receipt (POST /quickstart). Under your org it reuses-or-creates the project "TaScan Quickstart", its list "Quickstart" and the worker "Quickstart executor", adds a NEW task "Reply with the exact text: ", completes it with your key, has the named policy quickstart_exact_output v1 compare the response to the expected text (verified or refuted, signed into the receipt), and publishes the receipt's public profile. expected defaults to "VERIFIED" (max 200 chars); response defaults to expected — pass a different response to see a refuted receipt. Returns the receipt URL and the public verify URL. Write tier.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
expectedNoThe exact text the task asks for (default "VERIFIED", max 200 chars).
responseNoThe response to submit (default: the expected text). A different value is refuted.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.4/5.0
Behavior5/5

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

Adds substantial context beyond the annotations: it discloses the reuse-or-create semantics for the project/list/worker, that a NEW task is added each call (consistent with idempotentHint=false), the named verification policy, that a signed receipt is produced, that the public profile is published, and that the return is the receipt URL plus public verify URL. It even labels the operation 'Write tier.'

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?

A single dense paragraph, but it is front-loaded with the purpose and every clause carries information given the multi-step behavior being described. It is on the longer side yet wastes little; only minor tightening is possible.

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?

For a composite write tool with no output schema, the description covers side effects, defaults, the verification policy, and what the call returns. An agent has everything needed to invoke it correctly and interpret the result.

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?

Schema coverage is already 100%, so the baseline is 3, but the description adds real semantic meaning beyond the schema: expected defaults to 'VERIFIED', response defaults to expected, and crucially that passing a differing response yields a refuted receipt. That maps the parameter choice to an outcome the schema alone does not convey.

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?

States a precise verb+resource ('One action to a genuinely verified receipt') and then enumerates the exact artifacts created: project 'TaScan Quickstart', list 'Quickstart', worker 'Quickstart executor', and a task. An agent can tell this composite onboarding tool apart from granular siblings like create_project or complete_task without opening a schema.

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

Usage Guidelines3/5

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

The description establishes the scenario (a one-shot quickstart to a verified receipt) and hints at a demo use via 'pass a different response to see a refuted receipt,' but it never states explicitly when to prefer this over chaining the individual primitives. Usage is strongly implied by the name and content rather than spelled out with alternatives or 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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