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mcp-archimedes

by io.github.archimedes-market

search_bounties

Search open bounties on Archimedes Market. Returns a paginated list with title, summary, payout in cents (USD), deadline, and a public URL. Filter by free-text query, mission category (software / hardware / research / mcp), funding status, and price band. Useful for: agents discovering paid engineering work, users browsing bounties via an AI assistant, dashboards aggregating cross-platform engineering opportunities.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoPage size, 1–50.
queryNoFree-text search across bounty title and description. Plain English; no wildcards.
offsetNoPagination offset.
statusNo"open" = biddable now (escrow locked). "funded" = any bounty that touched real money. "all" = includes drafts.open
categoryNoMission type. Common values: software, hardware, research, mcp.
max_price_centsNoMaximum bounty payout in cents (USD).
min_price_centsNoMinimum bounty payout in cents (USD).

TDQS

A4/5.0
Behavior3/5

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

With no annotations provided, the description carries full burden. It discloses that results are paginated and lists returned fields (title, summary, payout, deadline, URL). However, it lacks details on pagination behavior (e.g., max pages), rate limits, or any side effects.

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 two sentences with a bulleted usefulness list. It is front-loaded with the core action and result, and every sentence adds value.

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?

Given the tool has 7 parameters and no output schema, the description adequately covers what the tool returns and its filtering capabilities. It could mention the output format more explicitly, but overall it is sufficient for an agent to use.

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 coverage is 100%, so the baseline is 3. The description adds high-level grouping of filters ('free-text query, mission category, funding status, price band') but does not provide extra meaning beyond the schema's own descriptions.

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 uses a specific verb ('Search') and resource ('open bounties on Archimedes Market'), clearly stating what the tool does. It distinguishes from siblings like 'get_bounty_details' by focusing on list/search functionality.

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 provides use cases ('agents discovering paid engineering work, users browsing bounties via an AI assistant, dashboards aggregating...'), guiding when to use. It implicitly excludes individual bounty lookup, but does not explicitly contrast with siblings.

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 has a clearly distinct purpose: check_dependencies for batch dependency trust, check_repo_trust for detailed single-repo trust, search_trust_reports for discovering trusted repos, search_bounties for finding bounties, get_bounty_details for bounty specifics, and get_platform_stats for aggregate metrics. No overlap.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern using snake_case (check_dependencies, check_repo_trust, get_bounty_details, get_platform_stats, search_bounties, search_trust_reports). The pattern is predictable and unambiguous.

Tool Count5/5

Six tools is well-scoped for the server's dual focus on trust checking (3 tools) and bounty marketplace (2 tools), plus one for platform stats. Each tool earns its place without overwhelming the agent.

Completeness4/5

The tool surface covers the core workflows: batch and single-repo trust checks with search capability, bounty discovery and details, and platform stats. A minor gap is the lack of a tool to initiate a scan for unscanned entries, but the descriptions provide URLs for that, so agents can work around it.

Resources