Skip to main content
Glama

Check Render Status

clipform_check_render
Read-onlyIdempotent

Check the status of render jobs started by clipform_generate_video, clipform_render_video_template, or clipform_render_composition.

Pass job_ids to check a whole batch in ONE call - one line of status per job. Pass job_id for a single job. Returns the output URL for each completed render. Typical render time: 10-60 seconds. Attach is automatic when node_id was provided to the render tool - no need to poll to completion, and the attach outcome is reported here once known.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idNoA single job ID returned by the render tool
contextYesDescribe the user's underlying goal in one sentence - not the tool you're calling.
job_idsNoMultiple job IDs - check the whole batch in one call instead of one call per job

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
jobsYesOne entry per queried job; attach completed public_urls via upload_media_asset then attach_node_media unless already auto-attached

TDQS

A4.9/5.0
Behavior5/5

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

Annotations already mark the tool read-only and idempotent. The description adds meaningful behavioral context beyond annotations: it returns the output URL for completed renders, reports the attach outcome once known, and provides typical render time. This goes beyond simple schema and annotation information.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and front-loaded: it states the core purpose first, then parameter-usage distinctions, then relevant timing and attach behavior. Every sentence contributes useful information without redundancy.

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

Completeness5/5

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

For a simple status-check tool with a complete input schema and an output schema present, the description covers what an agent needs: how to target jobs, what the response contains, expected timing, and automation behavior. No critical operational detail appears to be missing.

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

Parameters4/5

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

All three parameters are already fully described in the schema (100% coverage), so the baseline is 3. The description adds extra semantic value by explaining that job_ids yields one line of status per job and that completed renders include an output URL, which clarifies the expected behavior beyond the schema's property 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 uses a specific verb and resource: 'Check the status of render jobs' and explicitly names the three tools that start those jobs. It distinguishes itself from render tools and from sibling status-related operations by clarifying it is a status check, not a render trigger.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It clearly instructs when to pass job_ids versus job_id, and says to check a whole batch in one call. It also advises that when node_id was provided, attach is automatic and there is no need to poll to completion, which tells the agent when this tool is still needed.

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

A3.9/5.0
Disambiguation3/5

Most form/node CRUD tools are clearly distinct, but the render/generate trio (generate_video, render_video_template, render_composition) and get_responses vs get_results can be confused by name alone. The descriptions include strong disambiguation guidance, so the overlap is manageable but still present.

Naming Consistency4/5

The vast majority of tools follow a consistent clipform_verb_noun snake_case pattern, with create/get/update/delete/list used predictably. Minor deviations include get_more_tools lacking the clipform_ prefix and whoami not matching the verb_noun convention.

Tool Count2/5

At 34 tools, this is above the range where a toolset feels well-scoped, and several entries are auxiliary or internal (whoami, log_generation, get_more_tools, search_news). The domain is broad, but the surface could be consolidated without losing core capabilities.

Completeness4/5

The set covers form and node lifecycle, media upload/attachment, logic wiring, publishing, responses/results, and content generation (TTS, video, music, stock media). Minor gaps remain, such as no conditional branching in set_logic and no general media-library listing tool.