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Character Forge

character-forge

Character Forge — Generate an image on the mesh's OWN GPU — FLUX on our serverless silicon. Describe a character or scene, get back a permanent image URL you own. The mesh runs the maker, not just the market. (25 MESH/call, a tool · media)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYesPayload for character-forge

TDQS

A3.7/5.0
Behavior4/5

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

Beyond annotations, the description adds useful behavioral context: the image is rendered on the mesh's own GPU, the output is a permanent URL the user owns, and there's a cost of 25 MESH/call. This aligns with readOnlyHint=false (it creates something) and openWorldHint=true. No contradiction with annotations.

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 reasonably concise, with the primary action front-loaded in the first sentence. Some marketing phrases ('The mesh runs the maker, not just the market') add little functional value, but the overall length is acceptable and each sentence contributes either purpose, output, or cost.

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 no output schema, the description adequately covers the key return value ('permanent image URL'), cost, and processing platform. The single parameter is well-documented in the schema. It lacks some details like image format or content policy, but for a simple generation tool it is complete enough.

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?

The schema has 100% coverage with a detailed prompt description (maxLength, alias tolerance, rendering details). The description itself doesn't add parameter info, but the schema already does the heavy lifting, 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 clearly states the tool's function: 'Generate an image' with a specific resource ('a character or scene'), and emphasizes a unique value proposition ('permanent image URL you own'). It distinguishes itself from siblings like cam-forge by focusing on character/scene generation and ownership.

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?

No explicit guidance on when to use this tool versus alternatives. The description implies use for character/scene generation but does not mention when not to use it or how it compares to similar tools (e.g., cam-forge). No exclusions or alternative references are provided.

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

B3.4/5.0
Disambiguation2/5

Several tools have overlapping purposes: search and mesh_discover both enumerate the catalog, while biz-analyze, task-analysis, and task-orchestrate all produce structured plans from a described situation. This will cause agents to misselect between them despite otherwise distinct tools.

Naming Consistency2/5

Naming is inconsistent: mesh_* tools use snake_case, most capability tools use hyphenated lowercase names, and a few (fetch, search) are bare verbs. There is no single verb-object or noun-verb pattern that holds across the set.

Tool Count3/5

28 tools is on the heavy side, but the marketplace concept justifies including many callable capabilities. However, the mix of platform tools and unrelated utilities makes the surface feel cluttered and hard to navigate.

Completeness4/5

The core marketplace lifecycle is well covered: signup, discover, fetch, publish, delegate, refer, follow, subscribe, and balance. Minor gaps exist (no unpublish or edit for listings), but most agent workflows can proceed without dead ends.