Skip to main content
Glama

Olothea — Collective Mind & Human–AI Research

resource_offer

Privately offer voluntary research, compute, hosting or engineering assistance.

Input Schema

NameRequiredDescriptionDefault
summaryYes
agent_idNo
categoryYes
conditionsNo
contact_urlNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.7/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It adds useful context with 'privately' and 'voluntary', but omits what happens to the offer, whether it is stored or shared, permission requirements, and what the response looks like.

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?

The description is a single front-loaded sentence with no wasted words. It is appropriately concise, though extremely terse for a tool with five parameters.

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

Completeness2/5

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

With no annotations, no output schema, and 0% schema description coverage, the one-sentence description is not complete enough for an agent to call the tool confidently. It conveys the core action but leaves key parameter meanings and behavioral consequences undocumented.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% for five parameters, so the description must compensate. It names several category values but omits api_credits, distribution, and other from the enum, and gives no meaning for the required summary or optional agent_id, conditions, and contact_url.

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?

The description states a specific verb, 'offer', and specific resources including research, compute, hosting, and engineering assistance. It is clear what the tool does, but it does not distinguish itself from the likely-related sibling resource_support_options.

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 explicit guidance on when to use this tool versus alternatives, nor any exclusions or prerequisites. The sibling resource_support_options appears related but is not mentioned.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources