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Glama

quote_video

Calculate the credit price for an AI video before generation, returning a quote ID, clip breakdown, total credits, and current balance without spending credits.

Instructions

Quote a video in whole credits. Spends no credits. Returns quote_id, total_credits, clips and your balance. Always show the price to the user before run_quote.

Input Schema

NameRequiredDescriptionDefault
lookNoAdvanced look settings
tierNoEconómico (low cost) or Profesionaleconomico
blockNoQuote one block of a multi-part project (series, drama…): a chapter or a single scene of a chapter
ratioNo
promptYes
board_idYes
durationNoSingle clip length in seconds
voice_idNoCloned voice id from your Reelo account
resolutionNo720p
duration_targetNoTotal length in seconds (auto, 15, 30, 60); split into clips by the API

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description usefully discloses that the call 'spends no credits', establishing it as a safe read-like operation, and names the return fields (quote_id, total_credits, clips, balance). It omits whether quotes expire, whether they are idempotent, and any auth or error behavior for a 10-parameter tool.

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?

Four short sentences, front-loaded with purpose, then cost behavior, then return shape, then the workflow constraint. Nothing repeats and every sentence carries information.

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

Completeness3/5

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

For a 10-parameter nested-schema tool with no output schema, the description covers purpose, cost, and return fields, which is meaningful. However it is silent on which mutually exclusive parameter paths (block vs duration vs duration_target) to use, leaving the most error-prone decision undocumented.

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

Parameters2/5

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

Schema description coverage is only 60% and the description adds no parameter meaning at all — no explanation of tier, ratio, resolution, or the interplay between block, duration, and duration_target. The description leaves the agent to infer mode selection entirely from the schema, so it fails to compensate for the coverage gap.

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?

States a specific verb and resource ('Quote a video in whole credits') and implicitly contrasts with run_quote by noting it spends nothing. The agent can tell this is the pre-flight cost estimate rather than the execution call, though the phrase 'in whole credits' is slightly opaque without reading further.

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?

Gives explicit workflow routing: 'Always show the price to the user before run_quote' tells the agent this is the mandatory step preceding run_quote. It does not address when to choose block-based quoting versus duration/duration_target quoting, so parameter-selection guidance is absent.

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