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Lightbringer

Get invention feedback

get_invention_feedback

Runs Lightbringer's patent-analysis suite on an invention disclosure and returns structured findings across selectable focus areas (clarity, problem framing, completeness, or all). Analysis may take from seconds to a few minutes; while it is still running the response has a pending status and includes ticket identifiers whose results can be retrieved once complete.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
focusNoThe analysis focus areaall
invention_idYesThe invention identifier

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusYes
resultsNoPer-analysis findings; each item carries its ticket and state
ticketsNoTicket identifiers for analysis tasks that are still running
instructionsNoAdditional status detail for pending or cancelled analysis

TDQS

A4.3/5.0
Behavior5/5

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

The description discloses the asynchronous nature of the operation: it may take seconds to minutes, returns a pending status while running, and includes ticket identifiers that allow later retrieval of results. This goes well beyond the sparse annotations and helps the agent handle the full lifecycle.

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 sentences, with the core action and resource in the first sentence and the important async caveat in the second. No filler or redundancy.

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 tool with only two parameters, a full output schema, and no destructive safety concerns, the description covers everything necessary to invoke it correctly and interpret a pending response. The ticket-identifier mention makes the asynchronous flow actionable, even though it does not name the exact retrieval sibling.

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 description coverage is 100% and both parameters already have descriptions, so the baseline is 3. The description adds mild value by expanding the 'problem' enum to 'problem framing' and clarifying that invention_id refers to an invention disclosure, but it does not supply any syntax or additional parameter-level details.

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 opens with a specific verb and resource: 'Runs Lightbringer's patent-analysis suite on an invention disclosure.' It also names the output type (structured findings) and the selectable focus areas, which clearly distinguishes it from simpler retrieval/validation siblings like get_invention or validate_invention.

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 intended use case—wanting patent-analysis feedback on an invention disclosure—is clear from the description, but there is no explicit when-to-use/when-not-to-use guidance or reference to alternative tools such as validate_invention, get_review, or check_task_status for handling pending results.

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

A3.7/5.0
Disambiguation3/5

Most invention lifecycle tools are clearly distinct, but there are overlapping pairs: add_comment and reply_to_comment both handle replies to threads, and fetch overlaps with get_invention for invention content. These overlaps require careful reading of descriptions to select the right tool.

Naming Consistency4/5

Tool names generally follow a snake_case verb_noun pattern like list_inventions, create_invention, and update_invention. A few deviations such as fetch, search, and whoami break the pattern slightly, but the naming remains predictable overall.

Tool Count3/5

At 18 tools, the set is slightly above the ideal scoped range and contains some functional overlap, making it feel heavier than necessary. Each tool has a plausible purpose, but the surface could be tightened by merging the overlapping comment and document-retrieval tools.

Completeness4/5

The tool set covers the core invention lifecycle well: create, get, list, update, validate, submit, and analyze, plus review and comment workflows. Minor gaps exist around comment management and lack of explicit review creation/deletion, but there are no major dead ends for common workflows.