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Delimit Sense

delimit_sense

Manage the sensed signal corpus: query, digest, show, promote, or freeze signals. Promote relevant signals into ledger items while keeping noise out of the ledger.

Instructions

Review and manage the signal corpus (LED-877).

When to use: to inspect, cluster, or explicitly promote sensed signals into ledger items. Signals live separately from the ledger so noise doesn't pollute it. When NOT to use: to fetch new signals (use the platform-specific sensors like delimit_reddit_scan / delimit_github_scan) or write ledger items directly (delimit_ledger_add).

Sibling contrast: platform sensors capture; this manages the captured corpus and bridges it into the ledger.

Side effects: "promote" writes a new ledger item (via the ledger manager). "freeze" cold-archives a month of signals. "query", "digest", "show", "status" are read-only against ~/.delimit/intel/signals/.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax rows for query. Default 50.
monthNoYYYY-MM string for "freeze".
actionNoOne of "query" (default), "digest", "show", "promote", "freeze", "status".query
ledgerNoTarget ledger for promote — "ops" (default) or "strategy".ops
platformNoFilter source platform — "reddit", "x", "github", "hn". Empty = all.
priorityNoPriority for promoted item — "P0", "P1", "P2".P2
signal_idNoSIG-XXXX id for "show" / "promote".
since_daysNoLookback window in days (query/digest). Default 1.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. Changed8 schema fields changedv4.7.9
    • changedInput schema / properties / action / description
      Previous value: -"One of 'query', 'digest', 'show', 'promote', 'freeze', 'status'."New value: +"One of \"query\" (default), \"digest\", \"show\", \"promote\", \"freeze\", \"status\"."
    • changedInput schema / properties / ledger / description
      Previous value: -"Target ledger for 'promote' (ops or strategy)."New value: +"Target ledger for promote — \"ops\" (default) or \"strategy\"."
    • changedInput schema / properties / limit / description
      Previous value: -"Max rows to return (query). Default 50."New value: +"Max rows for query. Default 50."
    • changedInput schema / properties / month / description
      Previous value: -"YYYY-MM for 'freeze' action (cold archive)."New value: +"YYYY-MM string for \"freeze\"."
    • changedInput schema / properties / platform / description
      Previous value: -"Filter by source platform (reddit, x, github, hn). Empty = all."New value: +"Filter source platform — \"reddit\", \"x\", \"github\", \"hn\". Empty = all."
    • changedInput schema / properties / priority / description
      Previous value: -"Priority for the promoted ledger item (P0/P1/P2)."New value: +"Priority for promoted item — \"P0\", \"P1\", \"P2\"."
    • changedInput schema / properties / signal_id / description
      Previous value: -"Signal id (SIG-XXXX) for 'show' and 'promote'."New value: +"SIG-XXXX id for \"show\" / \"promote\"."
    • changedInput schema / properties / since_days / description
      Previous value: -"Lookback window in days (query/digest). Default 1 = last 24h."New value: +"Lookback window in days (query/digest). Default 1."
  2. Addedv4.5.5

TDQS

A4.6/5.0
Behavior5/5

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

Annotations only say readOnlyHint=false and destructiveHint=false, which are coarse. The description adds crucial per-action side effects: 'promote' writes a ledger item, 'freeze' cold-archives a month, and 'query', 'digest', 'show', 'status' are read-only. It also names the storage path, giving the agent a realistic behavioral model beyond the annotations.

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 description is well-structured with labeled sections and front-loaded purpose. It is slightly longer than strictly necessary because 'Sibling contrast' partially repeats the 'When NOT to use' content, but every section contributes useful decision and side-effect 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 multi-action tool with eight optional parameters and an output schema, the description covers the corpus boundary, when to use it, when not to use it, alternatives, side effects, and read-only vs write actions. Combined with the fully documented schema, nothing essential is missing for correct selection and invocation.

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?

Input schema coverage is 100% and each parameter already has a clear description with defaults and allowed values. The tool description doesn't add parameter-level detail beyond the schema, so the baseline 3 applies.

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: 'review and manage the signal corpus (LED-877).' It clearly distinguishes this tool from platform sensors and ledger write tools by naming them directly, so an agent can tell it apart from delimit_reddit_scan, delimit_github_scan, and delimit_ledger_add.

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?

Provides explicit 'When to use' and 'When NOT to use' guidance, names the exact alternative tools for each excluded case, and adds a sibling contrast sentence that captures the boundary: sensors capture; this manages. An agent has clear decision criteria for selecting this tool versus alternatives.

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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