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pasie15
by pasie15

stream_text_to_texture_task

Streams progress updates for a text-to-texture task by task ID, so you can monitor retexture status and results.

Instructions

Stream updates for a text-to-texture task using the /v1/retexture API.

Input Schema

NameRequiredDescriptionDefault
task_idYes
timeoutNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.2.2

TDQS

C2.4/5.0
Behavior1/5

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, and it discloses nothing about what 'stream' means here — whether it blocks until completion, emits incremental events, how it terminates, or what happens on timeout. For a streaming endpoint with zero annotation coverage this is a serious gap.

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 tight sentence with the action and resource front-loaded, no filler. It is concise, though the trailing API-path clause adds a little confusion rather than value.

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 no parameter documentation, the description is the only source of truth and it leaves streaming semantics, return shape, and the timeout parameter unexplained. An agent cannot reliably call this correctly from what is given.

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% for two parameters, and the description names neither task_id nor timeout. The timeout unit and whether it bounds the whole stream or per-event wait are entirely undocumented, which is exactly the kind of ambiguity that causes misinvocation.

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?

Names a specific verb (stream updates) and a specific resource (text-to-texture task), which tells the agent this is a live/progressive read rather than a one-shot fetch. However, it offers no differentiation from the sibling retrieve_text_to_texture_task or the similarly named stream_retexture_task, and the mention of the '/v1/retexture' API nudges toward the wrong sibling family.

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 statement of when to use streaming rather than polling via retrieve_text_to_texture_task, and no mention of preconditions such as a task already existing and being in progress. The agent has to infer the choice entirely from the tool name.

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