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Ash-Blanc

HackScout MCP

by Ash-Blanc

score_competitor_crowding

Assess crowding in a hackathon's public gallery to estimate a project's novelty and competition risk.

Instructions

Estimate crowding / novelty risk for the project in a public gallery.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYes
hackathon_id_or_urlYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Install Server

TDQS

C2.8/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden for behavioral disclosure. It only says 'Estimate,' which suggests a read-only analysis, but it doesn't clarify whether the tool accesses external data, has side effects, or requires permissions. No contradictions, but insufficient transparency.

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?

One sentence, front-loaded with the verb, contains no filler. However, it is too terse to fully serve its purpose, but that is a completeness issue, not a conciseness issue. Score 4.

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?

The description, combined with the schema, leaves many gaps: no parameter meanings, no annotation baseline, no context on when to use this versus score_project_fit or cluster_competitor_projects. The output schema exists but doesn't compensate for the missing behavioral and parameter information. Score 2.

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

Parameters1/5

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

The input schema has two required parameters (project_id, hackathon_id_or_url) with zero description coverage, and the tool description does not mention them at all. It fails to clarify what these parameters represent or how they map to 'the project' or 'public gallery,' scoring 1.

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

Purpose4/5

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

The description uses the specific verb 'Estimate' and clearly identifies the resource: crowding/novelty risk for a project in a public gallery. It is distinct from siblings like score_project_fit by focusing on crowding, though it doesn't explicitly name alternatives, so it falls just short of a 5.

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 implies the tool is used when assessing a project within a public gallery context, but it provides no when-not-to-use guidance or references to alternatives among the 27 sibling tools. It stops at stating the action without contextual boundaries.

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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