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Get the digest for a desktop system

get_digest
Read-only

One fix prompt for everything to update now on a desktop system (macos, windows, linux). Returns only a digest that passed lint and review. Phones have no digest.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "os": "<os>"
    },
    "name": "get_digest"
  }
}

Input Schema

NameRequiredDescriptionDefault
osYesThe user's desktop operating system.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already cover the safety profile (readOnlyHint=true, destructiveHint=false, openWorldHint=false), so the description only needs to add context. It does add two useful traits: results are filtered to entries that 'passed lint and review' (a quality guarantee), and phone OSes produce no digest. It omits what happens when os=ios/android (empty result vs. error) and says nothing about size or pagination of the digest.

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?

Three short sentences, no filler, with the desktop scope front-loaded. The first sentence is grammatically awkward ('One fix prompt for everything to update now') and slightly muddies rather than sharpens the purpose, costing it a point.

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 one-parameter read tool with no output schema, the description covers scope and the quality filter, which is most of what an agent needs. The remaining gap is the shape of the digest itself and the exact behavior for non-desktop enum values, which the description does not pin down.

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

Parameters4/5

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

Schema coverage is 100%, so baseline is 3, but the description earns a bump: the enum includes ios and android while the parameter is described as 'desktop operating system', and 'Phones have no digest' plus the '(macos, windows, linux)' list clarifies that those two enum values are effectively dead inputs. That reconciles a real ambiguity the schema alone leaves open.

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 identifies the resource (a 'digest' of what to update) and the scope (desktop systems: macos, windows, linux), which is more than a restatement of the name. However, the phrasing 'One fix prompt for everything to update now' blurs the line with the sibling get_fix_prompt, and it never states plainly whether this returns a prompt, a list, or a status summary.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

'Phones have no digest' gives an explicit exclusion, which is useful when-to-use guidance. It stops short of naming get_fix_prompt or any other sibling as the alternative when the caller actually wants the full fix prompt rather than the digest.

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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