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competlab

competlab-mcp-server

by competlab

get_briefing

Read-only

Retrieve the project's analyzed Strategic Briefing: a prioritized read across monitored and researched areas showing what changed and what it means. Defaults to the hub digest.

Instructions

Get the current state of the project's Strategic Briefing — the prioritized analysis across 14 analysis areas: the 6 monitored dimensions it reads from your stored checks, plus 8 it researches for the briefing alone (landscape, funding, hiring, launches): what changed and what it means. This is the ANALYZED, as-of read, NOT raw monitoring — for live per-dimension data use the get__dashboard tools; for the competitor roster use list_competitors. Defaults to the 'hub' — a cheap digest (headline, top moves, per-dimension verdicts naming the section to open next) that answers most questions in one call. IMPORTANT — this returns the LATEST run in whatever state it is in. Check meta.status: on 'done' the briefing is in item; on 'running' it is being generated now (meta.progress gives the step; a run finishes within two hours — treat it as running until meta.status changes, never as late or failed for how long it has taken); on 'failed' the last attempt ended without producing an edition; on null the project has never had a briefing at all. On 'running' or 'failed', item is null but an earlier edition is usually still readable — call get_briefing_history and then get_briefing_edition. NEVER tell the user no briefing is available on the strength of a null item without checking get_briefing_history first. Only meta.status === null means the project has none. What the edition recommends doing is not in item: it is opened as tickets on the project's Strategic Tickets board. tickets says what this edition did to the board — opened, commented, alreadyOnBoard, recheckedUnchanged; a ticket in neither commented nor recheckedUnchanged was not measured by this edition. Counted as you read (byStatus: per column now), so a moved, edited or dismissed ticket reads from the board. Briefings are generated automatically, roughly 30 days after the last run.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sectionsNoWhich briefing sections to return. Default ['hub'] — the executive digest that orients you and points to the deeper sections by name; this alone answers most questions in one cheap call. Add sections only when the question needs them: 'competitors' (the rival-by-rival read), any 'deep-<dimension>' for a full dimension dive (e.g. 'deep-ai-visibility', 'deep-pricing' — 14 available; the hub's verdicts tell you which one to open), or 'all' for the entire briefing (large — export/full-read only). The response's `contains` array lists exactly which sections that edition actually holds, in this same vocabulary — read it instead of guessing. What the edition recommends doing is in none of them: those recommendations are tickets on the project's board, and `tickets` on the response says what the edition did to the board.
projectIdYesProject ID (from list_projects)
includeChartsNoDefault false — each chart returns its title and note only, with NO underlying numbers, so do not answer a question about figures or a trend from a chart unless you set this. Set true to include the full series (time-series points, bar values); larger payload — use it only when you need the actual numbers.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changedv4.0.1
    • removedInput schema / additionalProperties
      Removed value: -false
    • changedInput schema / properties / sections / description
      Previous value: -"Which briefing sections to return. Default ['hub'] — the executive digest that orients you and points to the deeper sections by name; this alone answers most questions in one cheap call. Add sections only when the question needs them: 'actions' (the prioritized to-do list), 'competitors' (the rival-by-rival read), any 'deep-<dimension>' for a full dimension dive (e.g. 'deep-ai-visibility', 'deep-pricing' — 14 available; the hub's verdicts tell you which one to open), or 'all' for the entire briefing (large — export/full-read only). The response's `contains` array lists exactly which sections that edition actually holds, in this same vocabulary — read it instead of guessing."New value: +"Which briefing sections to return. Default ['hub'] — the executive digest that orients you and points to the deeper sections by name; this alone answers most questions in one cheap call. Add sections only when the question needs them: 'competitors' (the rival-by-rival read), any 'deep-<dimension>' for a full dimension dive (e.g. 'deep-ai-visibility', 'deep-pricing' — 14 available; the hub's verdicts tell you which one to open), or 'all' for the entire briefing (large — export/full-read only). The response's `contains` array lists exactly which sections that edition actually holds, in this same vocabulary — read it instead of guessing. What the edition recommends doing is in none of them: those recommendations are tickets on the project's board, and `tickets` on the response says what the edition did to the board."
    • changedInput schema / properties / sections / items / enum
      Previous value: -[
      -  "hub",
      -  "actions",
      -  "competitors",
      -  "deep-ai-visibility",
      -  "deep-ai-sources",
      -  "deep-positioning",
      -  "deep-pricing",
      -  "deep-content",
      -  "deep-tech-trust",
      -  "deep-agent-readiness",
      -  "deep-ai-ecosystem",
      -  "deep-customer-voice",
      -  "deep-funding-capital",
      -  "deep-hiring-gtm",
      -  "deep-landscape",
      -  "deep-product-launches",
      -  "deep-reliability-status",
      -  "all"
      -]New value: +[
      +  "hub",
      +  "competitors",
      +  "deep-ai-visibility",
      +  "deep-ai-sources",
      +  "deep-positioning",
      +  "deep-pricing",
      +  "deep-content",
      +  "deep-tech-trust",
      +  "deep-agent-readiness",
      +  "deep-ai-ecosystem",
      +  "deep-customer-voice",
      +  "deep-funding-capital",
      +  "deep-hiring-gtm",
      +  "deep-landscape",
      +  "deep-product-launches",
      +  "deep-reliability-status",
      +  "all"
      +]
  2. Changed3 schema fields changedv3.0.0
    • changedInput schema / properties / includeCharts / description
      Previous value: -"Default false — sections return prose plus a compact data-summary of each chart. Set true to include full chart series (time-series points, bar values); larger payload — use only when you need the underlying numbers, e.g. to reason over a trend."New value: +"Default false — each chart returns its title and note only, with NO underlying numbers, so do not answer a question about figures or a trend from a chart unless you set this. Set true to include the full series (time-series points, bar values); larger payload — use it only when you need the actual numbers."
    • changedInput schema / properties / sections / description
      Previous value: -"Which briefing sections to return. Default ['hub'] — the executive digest that orients you and names the deeper sections by their verdicts; this alone answers most questions in one cheap call. Add sections only when the question needs them: 'actions' (the prioritized to-do list), 'competitors' (the rival-by-rival read), any 'deep-<dimension>' for a full dimension dive (13 available, e.g. 'deep-pricing', 'deep-ai-visibility' — the hub's verdicts tell you which one to open, so you needn't guess), or 'all' for the entire briefing (large — full-read/export only)."New value: +"Which briefing sections to return. Default ['hub'] — the executive digest that orients you and points to the deeper sections by name; this alone answers most questions in one cheap call. Add sections only when the question needs them: 'actions' (the prioritized to-do list), 'competitors' (the rival-by-rival read), any 'deep-<dimension>' for a full dimension dive (e.g. 'deep-ai-visibility', 'deep-pricing' — 14 available; the hub's verdicts tell you which one to open), or 'all' for the entire briefing (large — export/full-read only). The response's `contains` array lists exactly which sections that edition actually holds, in this same vocabulary — read it instead of guessing."
    • changedInput schema / properties / sections / items / enum
      Previous value: -[
      -  "hub",
      -  "actions",
      -  "competitors",
      -  "deep-ai-visibility",
      -  "deep-positioning",
      -  "deep-pricing",
      -  "deep-content",
      -  "deep-tech-trust",
      -  "deep-agent-readiness",
      -  "deep-ai-ecosystem",
      -  "deep-customer-voice",
      -  "deep-funding-capital",
      -  "deep-hiring-gtm",
      -  "deep-landscape",
      -  "deep-product-launches",
      -  "deep-reliability-status",
      -  "all"
      -]New value: +[
      +  "hub",
      +  "actions",
      +  "competitors",
      +  "deep-ai-visibility",
      +  "deep-ai-sources",
      +  "deep-positioning",
      +  "deep-pricing",
      +  "deep-content",
      +  "deep-tech-trust",
      +  "deep-agent-readiness",
      +  "deep-ai-ecosystem",
      +  "deep-customer-voice",
      +  "deep-funding-capital",
      +  "deep-hiring-gtm",
      +  "deep-landscape",
      +  "deep-product-launches",
      +  "deep-reliability-status",
      +  "all"
      +]
  3. Addedv2.0.0

TDQS

A4.7/5.0
Behavior5/5

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

Annotations only declare readOnlyHint and openWorldHint; the description adds substantial behavior beyond that: meta.status state machine (done/running/failed/null), the two-hour completion window and the instruction to treat slow runs as running, null item semantics, and how tickets are counted live from the board. This is exactly the extra context the annotations cannot convey.

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

Conciseness3/5

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

Front-loaded with the core purpose, but the body is long and repeats itself — the 'recommendations are tickets, not in item' point appears in both the description and the sections schema text, and several status branches are belabored. Much of the length earns its place for a stateful tool, but it is not tight.

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?

No output schema exists, so the description carries the return-value burden, and it does so thoroughly: it explains item, meta.status, meta.progress, tickets (opened/commented/alreadyOnBoard/recheckedUnchanged) and contains. An agent has everything needed to call and interpret this correctly.

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 already 100%, so baseline is 3, but the description adds real meaning beyond the schema: it explains why 'hub' is the default and cheap, how the response's `contains` array should be read instead of guessing, and that includeCharts=false yields titles with no numbers.

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 ('Get the current state of the project's Strategic Briefing') and immediately scopes it as the analyzed as-of read across 14 named analysis areas. It explicitly distinguishes itself from siblings by naming get_<dimension>_dashboard tools and list_competitors as the alternatives for live and roster data.

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 explicit when-to-use guidance: defaults to 'hub' which 'answers most questions in one call', add sections only when needed, use get_briefing_history/get_briefing_edition on running or failed runs. It also names the counter-case ('NEVER tell the user no briefing is available on the strength of a null item').

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