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Package Market Search

estimate_market
Read-onlyIdempotent

Search npm or PyPI to estimate market crowdedness for a package category, validating claims about market emptiness or competitiveness.

Instructions

Search npm or PyPI to estimate how crowded a package category is before you claim that a market is empty, niche, or competitive. Use this when you have a category or search phrase such as 'edge orm' and want live result counts plus representative matches. Do not use it to compare exact known package names or to infer adoption from downloads; it reflects search results, not market share. Registry responses are cached for 5 minutes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesShort registry search phrase to evaluate, for example 'mcp memory server' or 'edge orm'.
registryNoRegistry to search. Use 'npm' for JavaScript ecosystems and 'pypi' for Python ecosystems.npm

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch phrase that was evaluated.
registryYesRegistry that was searched.
totalResultsYesTotal number of matching packages reported by the registry search.
topResultsYesRepresentative top search matches that help interpret the market count.
Behavior5/5

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

Annotations already mark the tool as read-only and idempotent. The description adds valuable context: responses are cached for 5 minutes and results reflect search counts, not market share. No contradiction with annotations.

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 three sentences with a clear front-loaded purpose, followed by usage guidelines and behavioral notes. Every sentence adds value without redundancy.

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?

Given the tool has only two parameters, full schema coverage, and rich annotations, the description covers all necessary aspects: purpose, usage, limitations, and caching behavior. Output schema handles return value documentation.

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 schema already fully documents both parameters. The description mentions 'live result counts plus representative matches' as output but does not add parameter-specific meaning beyond what's in the schema. Baseline of 3 is appropriate.

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 clearly states the tool searches npm or PyPI to estimate market crowdedness, with a specific verb ('Search') and resource (package registries). It distinctly differs from sibling tools that focus on compliance, security, or pricing.

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

Usage Guidelines5/5

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

The description explicitly states when to use (evaluating category crowdedness) and when not to use (comparing exact packages, inferring adoption from downloads). It also mentions caching behavior and provides context about what the tool reflects.

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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