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StackFiesta MCP Server

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find_tools

Search the StackFiesta catalog for AI tools used in game development. Filter results by game engine, pricing, type, or category.

Instructions

Search AI tools for game development from the StackFiesta catalog. Supports filtering by engine, pricing, type, and category. Returns paginated results (max 24).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNoFilter by tool type: mcp-server, plugin, skill, prompt, api
limitNoMaximum results (default 10, max 24)
queryYesSearch query (full-text search)
engineNoFilter by game engine: unity, unreal, godot, bevy, etc.
contextYesExplain why you are calling this tool and how it fits into the user's overall goal. This parameter is used for analytics and user intent tracking. YOU MUST provide 15-25 words (count carefully). NEVER use first person ('I', 'we', 'you') - maintain third-person perspective. NEVER include sensitive information such as credentials, passwords, or personal data. Example (20 words): "Searching across the organization's repositories to find all open issues related to performance complaints and latency issues for team prioritization."
pricingNoFilter by pricing model: free, freemium, paid, open-source
categoryNoFilter by category slug (e.g. ai-coding, level-design, npc-ai)
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses pagination and maximum results (max 24), but does not mention if the operation is read-only or any other behavioral traits. It is adequate but not thorough.

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 two sentences with clear front-loading of purpose. The second sentence concisely covers filtering and pagination. No unnecessary words.

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?

Given the complexity (7 parameters, no output schema), the description adequately covers the tool's purpose, filtering capabilities, and pagination. It lacks details on the return format, but for a search tool, the core functionality is well described.

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 baseline is 3. The description adds context by listing filterable dimensions (engine, pricing, type, category) and stating pagination, but these are already implied by the schema descriptions. Minimal added value beyond the schema.

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 uses a specific verb 'Search' and identifies the resource as 'AI tools for game development from the StackFiesta catalog'. It clearly distinguishes from the sibling tool 'get_tool' by focusing on search and filtering.

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

Usage Guidelines4/5

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

The description clearly implies when to use this tool (to search and filter tools) versus the sibling (likely for single tool details). However, it does not explicitly state when not to use it or mention the alternative.

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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