build_decision_report
Build a source-backed decision report for one to eight catalog items, including market presence and evidence gaps.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| ids | Yes |
Build a source-backed decision report for one to eight catalog items, including market presence and evidence gaps.
| Name | Required | Description | Default |
|---|---|---|---|
| ids | Yes |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description must carry safety and behavior information. It does not state whether the operation is read-only, whether it calls external sources, what the report format is, or if it has side effects. The only behavioral hints are 'source-backed' and 'evidence gaps', which shed little light on outcome.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Single sentence with no filler; verb, object, input bounds, and key content are all included. The phrase 'including market presence and evidence gaps' is valuable but not overdone.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with one required parameter and no output schema, the description is shorter than ideal. It leaves an agent unclear about the return structure (string, JSON, file), potential delays, and failure behavior. Still, a basic call is possible because the tool name and description establish a clear deliverable.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has no descriptions, so the description must interpret the 'ids' property. It correctly conveys that the parameter refers to catalog items and that 1–8 are accepted. However, it never names the property or specifies what kind of identifiers are expected, and duplicate handling is unaddressed.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's function: building a 'source-backed decision report' for 1–8 catalog items, with scope and content. It distinguishes itself from 'compare_market_items' and 'market_category_summary' through the report output emphasis, though it does not explicitly contrast with them.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given about when to choose this tool over the listed alternatives, such as compare_market_items or market_category_summary. The only condition is the item-count range, which is a constraint rather than a selection rule. An agent must infer that a 'decision report' is needed, so this dimension is weak.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.