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Wieldr game radar

Get gap analysis

get_gap_analysis
Read-onlyIdempotent

What the top 5 games of a ranked niche lack: complaint themes with their sample sizes, player requests (theme "Requests for new features" when detected), structure (multiplayer or not, max players per server, update cadence, paid passes, big studio or brand) and retention, plus factual observations and an honest list of missing data (dataGaps). Use it to pick an angle for an original game; null and measured=false mean no data, not zero. Every game carries asOf (export time, UTC), source and grade (grade = completeness of the game record (A = 8+ of 10 data points known, B = 6-7, C = 4-5, D = fewer); estimate grade: B = tighter range, C = wide range, D = very rough order of magnitude.) Revenue figures are estimates with a range and a grade, never measured sales and never a guarantee. Definitions: resource wieldr://methodology.

Input Schema

NameRequiredDescriptionDefault
nicheYesRanked niche label or key (from list_niches or find_opportunities), e.g. "Tycoon".
platformNoroblox or fortnite (ranked niches exist on these two). Omit for both.

Output Schema

NameRequiredDescriptionDefault
asOfYesExport time, UTC (ISO 8601).
nicheYes
methodNoOne useful sentence; full definitions in the MCP resource wieldr://methodology.
datasetYesfull radar (Pro or Studio key) or free preview (no key).
dataGapsYes
requestsYes
topGamesYes
complaintsYes
previewNoteNoFree preview only: what is missing, with real counts, and where to get the full radar.
observationsYes
memberMediansNo
structureSignalsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive, closed-world, so the description rightly spends its budget elsewhere: it discloses that null and measured=false mean no data rather than zero, that every game carries asOf/source/grade, that estimates are ranges rather than measured sales, and that a dataGaps list is returned. These are genuine interpretive caveats an agent could not infer from structured fields. It does not cover freshness limits, cost, or known coverage gaps by platform, which keeps it off a 5.

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 lead sentence front-loads the payload well, but it is a single sprawling sentence with four levels of nested parentheses, including a grade definition embedded in a parenthetical inside another parenthetical. Every element carries information, yet the density and punctuation load make it slower to parse than warranted; splitting the grade/A-B-C-D block and the estimate caveat into separate short sentences would improve it without losing content.

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?

An output schema exists, so return shape need not be explained, and the description instead handles the parts structure cannot: null vs zero, estimate ranges, grade meaning, and the dataGaps disclosure. Coverage gaps are minor, mainly that the platform parameter and the top-5 ranking basis go unmentioned. For a read-only niche-analysis tool, this is close to complete.

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 100%, so both parameters (niche, platform enum) are fully documented structurally and the baseline of 3 applies. The description adds no parameter-level meaning beyond noting that niches are "ranked" and that games are the top 5, and it never mentions platform or the omit-for-both behavior.

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?

"What the top 5 games of a ranked niche lack" plus the explicit inventory (complaint themes, requests, structure, retention, dataGaps) makes the resource and its scope unambiguous, and the phrase "pick an angle for an original game" frames the intent. It is not a clean verb+resource statement and never explicitly contrasts itself with close siblings like analyze_niche or get_player_complaints, so it stops 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?

Usage is only implied through the single clause "Use it to pick an angle for an original game," which does signal the scenario but is easy to miss mid-paragraph. There is no when-not guidance, no exclusion of overlapping tools (analyze_niche, get_player_complaints, find_opportunities), and no stated prerequisite beyond the niche label being sourced from list_niches or find_opportunities.

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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