How the Agent Ready score works
get_scoring_methodThe scored areas, their weights and every check, so a score can be explained.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_scoring_methodThe scored areas, their weights and every check, so a score can be explained.
| 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 establish this is a safe read-only, closed-world lookup, so the bar is lower. The description adds that the payload is the full methodology (weights plus all checks), implying a static reference rather than a per-site computation, but does not say so explicitly or indicate size/format.
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?
A single compact sentence with no filler, and the most useful content (areas, weights, checks) is front-loaded. The clause structure is slightly elliptical, but nothing is wasted.
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?
With no output schema and no parameters, the description carries the burden of telling the agent what comes back, and it does: scored areas, weights, and every check. Only the static nature and rough shape of the response remain unstated.
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 tool takes zero parameters, so the baseline is 4. Nothing in the description invents parameters or suggests inputs are needed, which is correct.
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 names the exact content returned: scored areas, their weights, and every check. It reads as a noun phrase without an explicit verb, but for a no-input reference tool the resource is unambiguous and clearly distinct from scan_website or get_report.
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 trailing clause 'so a score can be explained' implies the use case (explaining how a score was computed), but there is no explicit when-to-use framing and no routing away from siblings like explain_check, which likely covers a narrower question.
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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