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brainkb

by org.brainkb

brainkb_globus_login

Start an OAuth login (Globus / ORCID / GitHub) for THIS session — use this instead of brainkb_login when the user signs in with Globus rather than a password. Returns a URL to open in a browser; after signing in, the page shows a short one-time code — pass it to brainkb_finish_login(code) to complete. (The browser step is unavoidable: only the user can consent at the provider.)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
base_urlNo
providerNoglobus

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It explains that the tool returns a URL for browser opening, requires interactive consent, and produces a one-time code. This is valuable context, though it omits potential error conditions or expiration behavior.

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?

The description is concise and front-loaded: it states the action, gives the usage alternative, and describes the follow-up step in three sentences. Every sentence adds unique value without redundancy.

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?

The description covers purpose, usage context, return value (URL), and the necessary next step (finish_login). Given that an output schema exists, detailed return formatting is unnecessary. However, it lacks error scenarios and full parameter explanation, preventing a perfect score.

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 coverage is 0%, so the description must compensate. It names the provider options (Globus/ORCID/GitHub) which informs the 'provider' parameter, but it does not mention 'base_url' at all. Thus it partially clarifies parameters but leaves a gap.

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 starts with 'Start an OAuth login' which is a specific verb+resource, clearly distinguishing this tool from the password-based brainkb_login. It also mentions the supported providers (Globus / ORCID / GitHub), making its scope explicit.

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

Usage Guidelines5/5

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

Explicitly instructs to use this tool instead of brainkb_login when the user signs in with Globus, and directs the user to pass the one-time code to brainkb_finish_login. This provides clear when-to-use and next-step guidance, exceeding typical descriptions.

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

B3.4/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, such as user management (activate, ban, assign role) vs. space management (create, add member, set visibility) vs. ingest/jobs (ingest_files, job_status, recover). A few pairs like grant_capability vs. grant_role_capability are similar but descriptions clarify the target, so an agent should be able to choose correctly.

Naming Consistency4/5

All tools are prefixed with brainkb_ and the large majority follow a verb_noun pattern (e.g., add_space_member, list_tokens, revoke_token). Some exceptions like brainkb_delta, brainkb_search, brainkb_whoami, and brainkb_capabilities break the pattern, but these are few and still readable.

Tool Count2/5

With 49 tools, the server is far above the 25+ threshold for 'too many'. While the broad scope (user admin, spaces, graphs, ingest, provenance, auth) justifies many operations, the sheer number makes it heavy and potentially unwieldy for an agent to navigate.

Completeness3/5

The tool set covers a wide range of use cases: user/role/capability management, space administration, graph registration, ingest, job monitoring, provenance, search, and SPARQL. However, there are notable gaps such as removing a space member, deleting a space, or updating space metadata, which could leave agents without a way to fully manage the lifecycle of a space.

Resources