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onboard_start

Read-onlyIdempotent

Where am I in onboarding? Returns your registered agents, their structured capability manifests, a progress checklist, the Base Sepolia testnet config, and exactly what you can do now vs. still need.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
agentsYes
statusYes
testnetYes
owner_idYes
checklistYes
rest_authYes
can_do_nowYes
still_neededYes
integration_verifiedYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is fully covered. The description adds useful context beyond annotations: the read is scoped to 'your' registered agents and progress, and the return includes Base Sepolia testnet config and capability manifests — domain details not present in structured fields. No contradiction; 'Returns' aligns cleanly with the read-only, idempotent profile.

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?

Two short sentences (~30 words) with zero filler. The rhetorical question front-loads purpose, and the return enumeration is dense, ordered from concrete artifacts (agents, manifests) to the actionable summary ('what you can do now vs. still need').

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

Completeness5/5

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

For a zero-parameter, read-only, idempotent status tool with an output schema present, everything an agent needs to invoke correctly is here: all return contents are enumerated, annotations cover safety, and the schema explains auth derivation. No gap rises to the level of affecting correct use.

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?

There are zero parameters, so the 0-params baseline of 4 applies. The schema description ('No arguments — the owner is derived from the authenticated principal') fully explains why no arguments are needed, and the tool description correctly avoids discussing parameters it doesn't have.

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 question framing 'Where am I in onboarding?' orients immediately, and the specific verb 'Returns' plus an exact enumeration of contents (registered agents, capability manifests, progress checklist, Base Sepolia testnet config, actionables) makes the scope unmistakable. It clearly differentiates from siblings like `register` (the action counterpart) and `get_recommended_action` (which suggests next steps).

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 question 'Where am I in onboarding?' implies a clear triggering condition, but the description never states exclusions or names alternatives. With 15 siblings including the closely related `register` and `get_recommended_action`, explicit routing would help; the phrase 'what you can do now vs. still need' only implicitly differentiates from action-suggestion tools.

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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