TrendIdea

get_subsidy_matches

Read-only

Return the EU subsidy and grant matches found for an idea by the AI-powered EU Subsidy Scanner, including scheme names and fit. Use this to see which public funding an idea may qualify for. Read-only and free; the underlying scan is produced during validation.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`ideaId`	Yes	The idea ID

Output Schema

TableJSON Schema

Name	Required	Description	Default
`result`	Yes	The tool result rendered as human and AI readable text or markdown.

TDQS

A4.5/5.0

Behavior5/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false. The description adds valuable context beyond annotations: it states the tool is 'Read-only and free' and explains that 'the underlying scan is produced during validation', detailing the data source and cost implications.

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: first defines the action and output, second guides usage and adds traits. Every sentence earns its place; no fluff.

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?

For a simple read-only tool with one parameter and an output schema (present but not shown), the description explains the data origin (validation scan), notes it's free, and summarizes output (scheme names and fit). This, combined with annotations and schema, provides complete guidance.

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% with one parameter (ideaId) described. The description does not add meaning beyond the schema (e.g., format, origin of ideaId). Baseline is 3, and no additional value is provided.

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 explicitly states the verb 'Return' and the resource 'EU subsidy and grant matches', specifying the context (AI-powered EU Subsidy Scanner, for an idea). This clearly distinguishes it from 50+ sibling tools, as no other tool mentions subsidies.

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 directly tells the agent when to use this tool: 'Use this to see which public funding an idea may qualify for.' It does not explicitly state when not to use it or name alternatives, but the unique scope makes exclusion less critical.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

All TrendIdea tools Inspect

Try in Browser

RayrunBuild, deploy, and operate MCP servers without becoming an infrastructure team.ray.runAd

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.1/5.0

Disambiguation5/5

Each tool targets a distinct function or data aspect, from idea CRUD to simulations, content generation, and team management. Despite the large number, descriptions clearly differentiate purposes, e.g., 'get_idea_summary' vs. 'get_idea_agents' vs. 'get_idea_evolution'. No two tools appear to do the same thing.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern in snake_case (e.g., 'create_idea', 'get_competitive_density', 'toggle_favorite'). No mixing of conventions like camelCase or abbreviations. The pattern is uniform and predictable.

Tool Count2/5

63 tools is far beyond the typical well-scoped range of 3-15. While the platform's broad scope (idea validation, B2B, team, simulations) justifies many, the sheer volume can overwhelm an agent. A more curated subset or grouping would improve coherence.

Completeness5/5

The tool set covers the full startup idea lifecycle: creation, validation, retrieval of various analyses, updates, deletion, sharing, simulations, B2B lead generation, team collaboration, and market intelligence. No obvious gaps exist for the stated domain.

Resources

Need Help?