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smh_author

Read-only

One Sydney Morning Herald journalist's public profile: name, bio, headshot, contact links, and recent stories.

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": "smh_author"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlYesCanonical The Sydney Morning Herald journalist URL

Output Schema

NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / url / description
      Added value: +"Canonical The Sydney Morning Herald journalist URL"
  2. First observed

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds a content inventory (bio, headshot, contact links, recent stories), but since a full output schema exists this largely duplicates structured data and adds little behavioral context such as auth requirements or rate limits. A 3 is appropriate given annotations and output schema carry most of the burden.

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?

A single efficient sentence that front-loads the resource and its scope with zero filler. Every clause earns its place by naming the returned content.

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, read-only profile lookup with a full output schema and clear annotations, the description is nearly sufficient: the caller knows it needs a canonical SMH journalist URL and what it will get back. It stops short of 5 only because it offers no guidance on obtaining the URL or selecting this over sibling endpoints.

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?

There is one parameter with 100% schema description coverage ('Canonical The Sydney Morning Herald journalist URL'), so the schema already fully documents it. The description adds no format, syntax, or sourcing detail for the url beyond what the schema provides, which is the correct baseline of 3.

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

Purpose5/5

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

The description names a specific resource ('One Sydney Morning Herald journalist's public profile') and enumerates its contents (name, bio, headshot, contact links, recent stories). This clearly separates it from sibling tools like smh_article, smh_headlines, smh_news, and smh_sections, which an agent can distinguish without opening any schema.

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?

The naming and phrasing imply that this is the tool for looking up a journalist profile, but there is no explicit when-to-use statement, no mention of when NOT to use it, and no reference to alternatives such as the article or search endpoints. Usage must be inferred.

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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