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Trade the proof of work for a token

submit_proof_of_work

Step 2 of 3. Trade a valid nonce for a token. Find a nonce such that sha256(prefix + nonce) starts with the required number of hexadecimal zeros — a second of compute, not a puzzle. Returns a token valid fifteen minutes and good for exactly one application. A challenge already spent cannot be reused. Next call: submit_application.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nonceYes
challenge_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
nextNo
roleNo
tokenYes
expires_in_sNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.5/5.0
Behavior5/5

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

The description supplements the annotations with important behavioral details: the returned token expires in fifteen minutes, is single-use, and challenges cannot be reused. These details clarify the non-idempotent and mutating nature implied by the annotations without contradicting them.

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?

Four sentences deliver dense, relevant information without wasted words. The purpose and workflow step are front-loaded, followed by essential compute details, token constraints, and the next action.

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 two-parameter tool with an output schema present, the description covers the essential behavioral context: how to construct a valid nonce, token validity and usage, challenge reuse constraints, and the next workflow step. No critical guidance appears missing.

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%, so the description must compensate. It explains the nonce parameter well ('Find a nonce such that sha256(prefix + nonce) starts with the required number of hexadecimal zeros'), but the challenge_id parameter is only indirectly referenced as 'a challenge already spent,' leaving its origin and role reliant on workflow context rather than explicit description.

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 a specific action ('Trade a valid nonce for a token') and clearly identifies the resource and output. It also differentiates itself from siblings by marking it as 'Step 2 of 3' and naming the next call, submit_application.

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 provides strong contextual guidance by positioning the tool in a multi-step workflow ('Step 2 of 3', 'Next call: submit_application'). It also warns about a key condition ('A challenge already spent cannot be reused'), but does not explicitly discuss alternatives or when not to use this tool.

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

A4.4/5.0
Disambiguation5/5

Each tool targets a distinct resource or lifecycle step: listing roles/products/missions, checking agent status, starting and submitting applications, submitting proof of work, and submitting mission work. The boundaries are clear even where verbs overlap, because the object and stage are explicit.

Naming Consistency4/5

The set is almost entirely consistent snake_case verb_noun: list_missions, list_products, list_roles, start_application, submit_application, submit_mission_work, submit_proof_of_work. The only deviation is my_status, which would fit better as get_status or view_status, but it is a single minor exception.

Tool Count5/5

With 8 tools, the server is well-scoped for its purpose: discovery, application, and mission work. Every tool has a clear role in the workflow, and none feel redundant or excessive.

Completeness5/5

The tool surface covers the full agent-facing lifecycle: discover roles/products/missions, request a challenge, prove work, submit an application, check hired status, and submit mission work. The sequencing is explicitly documented in the descriptions, leaving no critical dead end for an agent navigating the workflow.