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fetch_doc

Fetch a page from the bundled onboarding SUBSET of the Alter docs by slug (e.g. "quickstart"). Pages outside the subset are identified with the docs-site URL where they live (they are not missing — read them at that URL). Accepts any spelling the docs use: a bare slug, a leading slash, a #section anchor, a full docs.alterauth.com URL, or an older path that now redirects. Omit the slug to list the bundled subset.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugNoDoc slug, e.g. "guides/call-apis-on-behalf-of-users".

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description carries the full burden, and it does substantial work: it discloses subset limitations, alternate-URL behavior for out-of-subset pages, flexible spelling/redirect handling, and omit-slug-to-list behavior. Return format and error behavior are not described, but those are minor for a doc-fetching tool.

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 dense sentences front-load the core action first, then cover edge cases. There is no filler; every clause adds operational value.

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 tool with one optional parameter and no output schema, the description covers the invocation contract well: subset scope, URL fallback for out-of-subset docs, accepted formats, and list behavior. The only notable gap is not stating what the returned page content looks like, but the context makes this a minor omission.

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

Parameters5/5

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

Schema coverage is 100%, but the description adds significant value by enumerating the accepted slug forms (bare slug, leading slash, #anchor, full URL, older redirecting path) and the omit-to-list behavior. This removes practical ambiguity about how to supply the single parameter.

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 names the verb ('Fetch'), the specific resource ('bundled onboarding SUBSET of the Alter docs'), and the key ('slug'), so the purpose is immediately clear. It does not explicitly differentiate from sibling tools by name, but the 'bundled subset' scope statement provides enough distinction.

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

Usage Guidelines4/5

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

The description clearly identifies the intended use case (fetching from the bundled onboarding subset) and gives explicit guidance for pages outside the subset: they are not missing and should be read at the docs-site URL. This is an actionable exclusion, though it does not name sibling alternatives.

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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TDQS

A4.1/5.0
Disambiguation4/5

Most tools target clearly distinct concerns: docs, provider operations, SDK wiring, policies, troubleshooting, and verification. However, get_started with no arguments overlaps with list_phases, and fetch_doc/list_skills both provide guidance content, creating minor ambiguity.

Naming Consistency4/5

The set mostly follows a verb_noun pattern: fetch_doc, list_operations, list_providers, verify_integration, troubleshoot. A few names like policy_language, sdk_integration, and sdk_pattern are noun-led, which is a small consistency break but still predictable and readable.

Tool Count5/5

Thirteen tools is well within the ideal range for a focused onboarding server. Each tool contributes to a different part of the onboarding workflow, and none feel redundant or like filler.

Completeness5/5

The server covers the full onboarding journey: docs, lifecycle phases, step-by-step flows, provider API discovery, schema retrieval, SDK integration, SDK patterns, policy grammar, troubleshooting, and verification. There are no obvious dead ends or major missing operations for its stated purpose.

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