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Show project gallery

show_project_gallery
Read-only

Show the curated public projects as a gallery of cards: name, category, stack, lifecycle, last-active date, test/CI signals, and the public repository link, with archive-wide totals. Hosts that support MCP Apps render it as an interactive gallery; others get the same data as JSON.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "show_project_gallery"
  }
}

Input Schema

NameRequiredDescriptionDefault
statusNoOnly projects with this status, e.g. "active" or "stale"
lifecycleNoOnly projects in this lifecycle, e.g. "active", "dormant" or "manual-only"; "none" for projects with no lifecycle

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered; the description adds the genuinely useful disclosure that MCP-App hosts render an interactive gallery while other hosts receive equivalent JSON, which tells the agent the response shape is host-dependent. It does not mention result limits, pagination, or empty-result behavior.

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?

Two sentences, front-loaded with the action and resource, then the field inventory, then the host-rendering caveat. Every clause carries information; nothing is restated from the title or schema.

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?

For a two-optional-parameter read tool with no output schema, the description covers what is returned, the two render modes, and the presence of aggregate totals — enough for correct invocation. It stops short of describing filter composition or result-size behavior, which an agent may still need to guess.

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% and both filters (status, lifecycle) are documented in the schema with examples, so the baseline of 3 applies. The description's mention of lifecycle and last-active date in the card fields does not add filtering semantics beyond what the schema already states.

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?

"Show the curated public projects as a gallery of cards" gives a concrete verb, resource, and presentation mode, then enumerates exactly what each card contains (name, category, stack, lifecycle, last-active, test/CI signals, repo link) plus archive-wide totals. It is clearly not a flat listing like list_projects, but it never names a sibling to make the distinction explicit.

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: an agent can infer this is the visual/browsable presentation of curated public projects. There is no statement of when to prefer it over list_projects or show_project_timeline, no note on how the two optional filters interact, and no exclusions.

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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