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Glama

grant_programs

Read-onlyIdempotent

Find and filter UAE government grant and funding support programs by type, including venture funds, loans, and accelerator support, for business planning.

Instructions

List UAE government grant and funding support programs.

Input Schema

NameRequiredDescriptionDefault
grant_typeNoOptional type filter (accelerator_support_and_credit_guarantee, venture_fund, support_programs_and_loan_route, interest_free_business_loans_and_nonfinancial_support).

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.4.1
    • changedInput schema / properties / grant_type / description
      Previous value: -"Optional type filter (guarantee_loan, venture_fund,\nsupport_programs, loan_grant)."New value: +"Optional type filter\n(accelerator_support_and_credit_guarantee, venture_fund,\nsupport_programs_and_loan_route,\ninterest_free_business_loans_and_nonfinancial_support)."
  2. First observedv0.4.0

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered elsewhere. The description adds nothing behavioral beyond that — no note on whether results are static or refreshed, nor any scoping caveats — so it contributes no incremental context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with zero filler, appropriately sized for the operation. It is terse to the point of under-specification, but nothing in it is wasted.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema present, return values need not be explained, and annotations carry the safety profile. The remaining gap is routing: nothing tells the agent how this differs from accelerator_search, vc_list, or dcde_programs in a crowded funding-tool family.

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% and the single optional grant_type parameter is fully documented in the schema with its accepted filter values. The description adds no syntax or meaning beyond the schema, so the baseline 3 applies.

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?

States a specific verb (List) and resource (UAE government grant and funding support programs), so the agent knows exactly what is returned. However, it offers no differentiation from adjacent funding siblings such as accelerator_search, vc_list, or dcde_programs, which an agent could easily confuse it with.

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

Usage Guidelines2/5

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

There is no when-to-use guidance, no exclusions, and no alternatives named. The agent must infer on its own that this covers government grants rather than private accelerators or VC listings.

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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