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beesknees-mcp

Beesknees Match List

beesknees_match_list

Matches forming or running, and how many seats are left in each hive.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
npubNoRequired. Your Nostr public key (npub1...) for credit billing.
dpop_tokenNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.4/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral-disclosure burden. It does not state whether the operation is read-only, whether authentication or credits are required, whether there are rate limits, or what side effects might occur. The only implicit signal is that it reports data, but nothing explicit is provided.

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

Conciseness3/5

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

The description is a single short sentence with no wasted words, which is structurally concise. However, it is under-specified rather than appropriately informative for a list tool with many siblings, and it does not front-load a clear verb or scope.

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?

An output schema exists, so return values need not be explained. But the description omits usage guidance, behavioral traits, authentication/billing context, and any semantic help for the undocumented dpop_token parameter. For a tool in a large sibling set with no annotations and only partial schema coverage, the definition is incomplete.

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

Parameters2/5

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

Schema description coverage is 50%: npub is documented in the schema as required for credit billing, but dpop_token has no description. The tool description adds no parameter meaning, syntax, or requirements for either parameter, so it fails to compensate for the schema gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description conveys that the tool returns match information and seat counts, but it lacks a clear action verb like 'List' and uses domain jargon ('hive') that may not be immediately understandable. It does not distinguish this tool from siblings such as beesknees_match_state or beesknees_join_match, leaving the agent to infer the exact purpose.

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 gives no guidance on when to use this tool versus alternatives. It mentions matches forming or running, but does not state prerequisites, when-not conditions, or how it differs from related match tools like beesknees_match_state.

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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