Skip to main content
Glama

Store a summary for a leased item

driftnet_enrich_item

Saves the summary you wrote for a leased item, ending the lease and removing it from the queue. Use it to finish cataloguing a tool with facts only, while incomplete or rejected items stay leased.

Instructions

Store the summary you wrote for an item you leased with driftnet_lease_items; this ends the lease and takes it off the queue. Only for leased items that have no summary yet; to redo an existing card use driftnet_refresh_item. Write in the language and depth the lease brief gives. name is the tool's own untranslated name. highlights and use_cases are short facts you read, not marketing. primary_url only if you saw it on the page. mentions are other tools the content recommends, not ones it merely compares against. category is a folder id from the brief and is ignored when the reader filed the item by hand. It makes network calls: driftnet checks that primary_url exists and looks up open-source mentions on GitHub, cataloguing them as items of their own. Fields containing prompt-injection text are rejected; on rejection it returns the reason and the item stays leased to you, so fix the fields and call again.

Input Schema

NameRequiredDescriptionDefault
idYesItem id from driftnet_lease_items, a positive integer such as 42
whyNoOne sentence on why this reader should look, from chat text, note or the post's claim; null if no signal, never invented
demoNoWhat a person sees or gets when using it, 1–3 sentences; null if unknown
nameYesThe tool's own name, untranslated, e.g. its GitHub repo name 'markitdown'
tagsNoUp to 8 lowercase keywords, e.g. ['pdf', 'ocr', 'cli']
worthNoskip: not a usable tool or nothing to read; low: marginal; normal: worth a look; must-see: exceptional
try_itNoInstall/run command or first step, e.g. 'pip install markitdown'; null if the content does not give one
categoryNoBest-fitting folder id from the brief's folder list, e.g. 'coding'
mentionsNoUp to 8 other tools the content recommends, not ones it only compares against
one_linerYesWhat it is, one sentence in the brief's language, up to 300 chars
use_casesNoSituations where someone would use it, up to 3 (2 at standard depth)
highlightsYesConcrete things it does, short phrases, up to 3 (5 at detailed depth); only facts you read
primary_urlNohttp(s) URL of the tool's repo or official site, only if you saw it; verified to exist

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.7.0

TDQS

A4.8/5.0
Behavior5/5

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

Goes well past the annotations: it discloses the network side effects (verifying primary_url, looking up GitHub mentions and cataloguing them as separate items), the failure mode (prompt-injection rejection returns a reason), and the post-failure state ('the item stays leased to you, so fix the fields and call again'). That matches openWorldHint=true and non-idempotency while adding retry semantics the annotations cannot express.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The critical scope and exclusion come first, then the parameter notes, then the network behaviour — a sensible order with no filler sentences. It is dense to the point of being a run-on, with a long mid-section of parameter clauses that could be ordered more scannably, but every clause carries information.

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 13-parameter mutation tool with no output schema, the description covers the lease lifecycle, the language/depth convention, per-field intent on the non-obvious parameters, network side effects, and what happens on rejection. An agent has everything needed to call it correctly and to recover from a failure.

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?

Schema coverage is 100%, so the baseline is 3; the description earns an increment by adding guidance not in the schema, notably that category 'is ignored when the reader filed the item by hand' and that content should follow 'the language and depth the lease brief gives'. Most of the remaining notes (name untranslated, highlights are facts not marketing, primary_url only if seen) largely restate existing schema descriptions.

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?

States a specific verb and resource (store the summary for a leased item) plus the side effect of ending the lease, and names the sibling that handles the alternative case (driftnet_refresh_item). An agent can distinguish this from driftnet_update_item or driftnet_save_link without opening either schema.

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?

Gives an explicit precondition ('Only for leased items that have no summary yet') and an explicit alternative for the excluded case ('to redo an existing card use driftnet_refresh_item'). The prerequisite tool (driftnet_lease_items) is named as the source of the id, closing the loop on when this is callable.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.