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brainkb_recover_job

Attempt to recover a stuck/errored ingest job (marks it recoverable/errored).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYes

TDQS

A3.9/5.0
Behavior3/5

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

With no annotations, the description must carry the burden of disclosing behaviors. It does mention that the tool 'marks it recoverable/errored', which is a meaningful state-change disclosure. However, it does not clarify whether this is a destructive or reversible operation, what conditions are required (e.g., job must exist), or what happens on failure, leaving some behavioral ambiguity.

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 a single sentence, 14 words, front-loaded with the core action and augmented with a clarifying parenthetical. Every word earns its place; there is no redundancy or unnecessary detail.

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

Completeness3/5

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

For a tool with one required parameter and no output schema, the description covers the essential purpose and a key side effect. However, it does not explain the return value, error behavior, or prerequisites (e.g., the job must be in an ingest pipeline), leaving modest gaps that could confuse an agent on first use.

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?

The schema provides only a 'job_id' string with no description, and the tool description does not explicitly explain the parameter. However, the phrase 'stuck/errored ingest job' implies that job_id identifies such a job, and the parameter name is self-explanatory. This adds marginal meaning beyond the schema but does not cover format requirements or how to obtain the ID.

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 clearly states the tool's function: 'Attempt to recover a stuck/errored ingest job'. It specifies a concrete verb ('recover'), a target resource ('ingest job'), and a condition ('stuck/errored'), distinguishing it from all sibling tools that focus on listing, creating, or managing jobs, not recovery. The parenthetical 'marks it recoverable/errored' adds a clear side effect, making the purpose unambiguous.

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 implicitly provides usage context by specifying the tool is for 'stuck/errored' ingest jobs, which tells the agent when to invoke it. However, it does not explicitly state when not to use it (e.g., do not use for active jobs) or mention alternative tools like list_jobs or job_status, so it stops short of being a full 5.

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.