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project_submit

Bundle and hand validated artifacts to the 25.6 multi-file adapter, which re-fetches Taskmarket and enforces zero-spend side-effect gates.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
packet_idYes

TDQS

C2.5/5.0
Behavior3/5

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

There are no annotations, so the description carries the full behavioral burden. It does disclose two meaningful behaviors: the adapter re-fetches Taskmarket and enforces zero-spend side-effect gates. However, it does not explain mutation side effects, auth needs, failure modes, or what happens after the adapter run, leaving important behavioral gaps.

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 sentence with no filler and the main action is front-loaded. It is concise but packs several unexplained technical terms, so its brevity comes at some cost to clarity.

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 output schema, no annotations, and a single undocumented parameter, the description does not provide enough context for correct invocation. Missing details include how to obtain packet_id, what the tool returns, expected preconditions, and what 'zero-spend side-effect gates' mean in practice. The description is sufficient only as a high-level hint.

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

Parameters1/5

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

Schema description coverage is 0%, and the description never mentiones packet_id at all. It refers to 'validated artifacts' but does not explain what packet_id is, how it relates to artifacts, where it comes from, or its expected format. This is a critical gap because packet_id is the sole required parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a concrete action ('Bundle and hand validated artifacts to the ... adapter') rather than restating the tool name, and it hints at a submission-related flow. However, the purpose is obscured by proprietary jargon ('25.6 multi-file adapter', 're-fetches Taskmarket') and never explicitly states that this submits a project or what the final outcome is. It is distinguishable from siblings only through hints, not clear intent.

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?

The phrase 'validated artifacts' implies the tool should be used after validation, but there is no explicit when-to-use guidance and no comparison to obvious siblings like prepare_taskmarket_submission or project_bundle. An agent is left to infer both preconditions and when to choose this over alternatives.

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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TDQS

C2.5/5.0
Disambiguation1/5

There are multiple clusters of near-duplicate tools: earn, earn_now, earn_loop, find_money_opportunities, search_global_earn, and several rank_real_profit_opportunities variants. Even with descriptions, an agent would struggle to choose reliably among dozens of overlapping search, earn, and ranking entry points.

Naming Consistency3/5

Most tools follow a snake_case verb_noun pattern, which provides some consistency. However, the set mixes prefixes like agentlot_, standalone verbs like earn and me, and many semantically interchangeable verbs such as find, search, discover, rank, route, and list applied to similar objects.

Tool Count1/5

With 124 tools, this is an extreme mismatch for a coherent server surface. Even for a broad marketplace, this many entry points creates severe navigation overhead and includes multiple generations of similar tools instead of a disciplined, minimal API.

Completeness3/5

The tool set broadly covers marketplace lifecycles: listings, requests, orders, delivery, disputes, payouts, projects, and assets. However, there are notable gaps such as updating/unpublishing listings, canceling/refunding orders, and other core lifecycle management operations that would be expected in a complete marketplace surface.

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