workflow_catalog
Read the first decision-workflow preview, proposed price and measured evaluation status. No order, purchase or model call.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Read the first decision-workflow preview, proposed price and measured evaluation status. No order, purchase or model call.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds useful behavioral context beyond the annotations: it returns only the first preview, it reports measured evaluation status, and it explicitly avoids orders, purchases, and model calls. This is meaningful transparency for a zero-parameter read tool.
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?
The description is a single short sentence that front-loads the core action ('Read') and packs in the key return items plus a clear set of exclusions. Every clause earns its place, and there is no redundant or filler language.
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 zero-parameter, read-only tool with full annotation coverage and no output schema, the description is complete. It tells the agent what will be returned (preview, proposed price, measured evaluation status), that it is non-mutating, and that no model call or purchase occurs. Nothing essential is missing for correct invocation.
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 input schema has zero parameters, so the baseline is 4. The description does not need to explain parameter meaning since there are none, and schema description coverage is 100% by definition. No semantic loss occurs.
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 uses a clear verb ('Read') and names a specific resource ('the first decision-workflow preview, proposed price and measured evaluation status'). It also clarifies what the tool does not do ('No order, purchase or model call'), which helps differentiate it from action-oriented siblings like pack_offer or method. However, it does not name or contrast a specific sibling tool, so it falls just short of full differentiation.
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?
The usage is implied rather than stated: this tool is for reading a preview, price, and evaluation status, not for making purchases or invoking a model. The description gives some helpful exclusions ('No order, purchase or model call'), but it never explicitly says when to choose this over the sibling catalog/preview tools or names an alternative.
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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