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Glama

risk_forecast

Which articles will degrade first? Sorted by urgency.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
entity_idNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

C2.2/5.0
Behavior2/5

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

With no annotations, the description is the only source of behavioral info. It discloses that results are sorted by urgency, but nothing else: no read-only guarantee, side effects, input requirements, or interpretation of 'degrade.'

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 very concise with two short sentences. It is front-loaded with the key question and adds a sorting detail. However, its brevity comes at the cost of the completeness needed for a useful description.

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

Completeness1/5

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

The tool has no output schema and minimal description. It does not explain what the output looks like, how urgency is determined, or how entity_id is used. Given the tool's apparent function, this is severely incomplete.

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?

The only parameter, entity_id, is not mentioned in the description. With 0% schema coverage, the description fails to explain what entity_id refers to or how it relates to the forecast, leaving the agent without crucial input semantics.

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 indicates the tool predicts which articles will degrade first, sorted by urgency. This is a clear concept, but it lacks a direct verb-resource structure and does not distinguish it from sibling tools like scenario_forecast or predict_article.

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 usage guidance is provided. There is no mention of when to use this tool over alternatives, prerequisites, or exclusions, making it hard for an agent to choose it correctly.

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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