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search_projects

Search EU-funded research projects by keyword and filter by ERC grant, funding scheme, coordinating country, minimum funding, or start date. Returns matching project details with totals and attribution.

Instructions

Search EU-funded research projects (Horizon Europe, H2020, FP7) by keyword, with optional filters for ERC grants, funding scheme, coordinating country, minimum funding, and start date. Returns {total, items, attribution}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum results, 1-50. Default 10.
queryNoKeywords matched against project titles.
countryNoISO 2-letter country code of the coordinating organisation, e.g. 'DE', 'FR', 'NL'.
erc_onlyNoRestrict to European Research Council grants (ERC-STG, ERC-COG, ERC-ADG, ERC-POC and related schemes).
min_fundingNoMinimum total project cost in EUR.
start_date_toNoLatest project start date, as YYYY-MM-DD.
funding_schemeNoRestrict to a funding scheme code prefix, e.g. 'ERC-ADG' for Advanced Grants or 'MSCA' for Marie Skłodowska-Curie. Overrides erc_only.
start_date_fromNoEarliest project start date, as YYYY-MM-DD.
search_abstractsNoAlso match against project abstracts. Much broader recall but noticeably slower. Default false.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations, the description carries the behavioral burden. It usefully discloses the return structure {total, items, attribution}, but does not describe search semantics beyond keyword matching, default behavior, pagination, or slowness of abstract search. The description adds some value but leaves important runtime behavior to the schema.

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?

A single, information-dense sentence that front-loads the action and resource, lists filters economically, and closes with the return shape. There is no fluff or repetition of schema 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?

For a search tool with 9 parameters and no output schema, the description gives the essential orientation: scope, filters, and the top-level response fields. It could be more complete by mentioning the optionality of query or directing an agent to get_project for single-project lookups, but the core calling context is present.

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 the schema already documents all parameters in detail. The description groups filters (ERC, funding scheme, country, minimum funding, start date) in a readable way but adds no new syntactic or semantic detail beyond the schema, so baseline 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 states a specific action ('Search'), a specific resource ('EU-funded research projects'), and the programme scope (Horizon Europe, H2020, FP7). It also names the key filters and the return shape, distinguishing it from the siblings get_project and list_erc_schemes.

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?

The description clearly implies when to use the tool: when you want to search across multiple projects by keyword or filter. However, it does not explicitly contrast this with get_project for retrieving a single project or list_erc_schemes for scheme metadata, so the guidance is inferred rather than stated.

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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