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SaltCrate Oracle

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check_change

Did this web page change since the last time it was checked? Hash-based change detection. First check reports 'new'; later checks report 'changed' or 'unchanged'.

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": {
      "url": "<url>"
    },
    "name": "check_change"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations, the description carries the burden and does disclose useful behavior: it is stateful (compares against the last check) and it enumerates the possible outcomes ('new', 'changed', 'unchanged') including the first-call special case. It does not mention any auth, rate-limit, or persistence-store caveats, which keeps it short of a 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three tight sentences, front-loaded with the user-facing question before the implementation detail. Every sentence carries information and nothing is padded.

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

Completeness4/5

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

For a one-parameter tool with no output schema, the description covers what the agent most needs to know: statefulness and the set of possible return values. Missing are edge behaviors such as what happens on fetch failure or how state is scoped, which keeps it below a 5.

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

Parameters3/5

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

Schema description coverage is 0%, so the description ideally would compensate for the single url parameter, but it adds no explicit detail about the parameter (format, expected scheme, whether redirects are followed). The url name is largely self-evident, so this is adequate but not additive.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: checking whether a web page changed since the last check, with the mechanism (hash-based) named. It partially differentiates from siblings by emphasizing change detection rather than fetching or link validity, though it never explicitly names check_link/fetch/verify.

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?

Usage is implied — monitoring a page over time — but there is no explicit when-to-use versus when-not, and no sibling alternatives are named even though check_link, fetch, and verify all touch the same web resources. The agent must infer that this is the stateful change tracker.

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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