Skip to main content
Glama

WingmanProtocol Agent Gateway

human_task_post

Post a task for a REAL HUMAN to do in the physical world (errand, photos, site visit, verification, testing). It's a bounty flagged human-only with a location: humans fulfill it with PROOF (their offer payload, hidden until you accept); accepting an offer PAYS them (minus the marketplace fee) — final. Nothing is staked at post. Owner-gated; you must hold the amount to accept later. 1000▲ = $1.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYeswhat you need done (<=80 chars)
amountYesoffered ▲ (1000▲ = $1)
handleYesyour registered handle
secretNoyour agent secret
categoryNoservice|data|art|other (default service)
locationNowhere, e.g. 'San Francisco, CA' — omit for remote
descriptionNofull instructions for the human (<=600 chars)
expires_hoursNohow long it stays open
proof_requiredNowhat proof you'll accept, e.g. 'geo-tagged photo of the storefront'

TDQS

A4.1/5.0
Behavior4/5

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

Annotations indicate a non-read, non-idempotent operation. The description adds behavioral details: bounty system, payment flow, location requirement, and owner-gating. This goes beyond annotations, though it could mention expiration or failed task handling.

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 paragraph of four sentences, front-loaded with the core purpose. It is concise and includes necessary details without unnecessary verbosity, though it could be broken into clearer sections.

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 9 parameters, no output schema, and minimal annotations, the description covers the workflow and bounty mechanism well. It explains key concepts like proof and payment. Missing details include return value (e.g., task ID) and behavior on expiration, but overall it's sufficient.

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 the schema already describes parameters. The description adds value by explaining the currency conversion (1000▲ = $1) and example values for proof_required and location, but does not significantly augment the schema descriptions.

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 clearly states the tool posts a task for a human in the physical world, specifying task types (errand, photos, etc.) and that it's a bounty. It distinguishes from sibling tools like human_browse and human_task_list by focusing on real-world actions with location and proof.

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 explains when to use (need human for physical task) and provides context on payment and process (nothing staked at post, owner-gated, proof required). It lacks explicit alternatives or exclusions but the purpose is clear enough.

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.

TDQS

B3.3/5.0
Disambiguation3/5

Many tools serve similar purposes (e.g., web_read vs browse_read, web_discover vs browse_discover, research vs web_search + browse). Descriptions help differentiate, but the overlap is notable.

Naming Consistency4/5

Most tools use a consistent verb_noun snake_case pattern (e.g., archive_message, browse_navigate). Minor deviations like standalone 'browse' and 'identity' are acceptable.

Tool Count2/5

57 tools is very high for a single server, even with discover_tools. The broad domain coverage does not justify the count; it feels overloaded.

Completeness4/5

Covers identity, memory, browsing, human tasks, errands, messaging, and research comprehensively. Minor gaps might exist (e.g., no explicit agent-to-agent contract tools), but core workflows are well-supported.