Skip to main content
Glama

begin_work

Start ordinary work by composing intake, plan, and launch in one call, with optional slice details and structured errors for self-correction.

Instructions

Compose intake -> plan -> start for ordinary work without MangoMe jargon.

Existing callers may pass proposed_slice. Zero-touch callers can instead pass slice_title and optionally slice_objective; slice_declared_id is optional and MangoMe generates a stable AUTO-* id when omitted. Domain failures are returned as structured error data so the worker can self-correct.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
intentYes
spec_idNo
turn_idNo
work_idNo
actor_idYes
estimateNo
family_idYes
slice_titleNo
contract_idsNo
request_textYes
classificationNoEXISTING_CONTRACT_WORK
expected_scopeNo
proposed_sliceNo
slice_objectiveNo
slice_declared_idNo
expected_artifactsNo
classification_sourceNoMANGOME_ZERO_TOUCH
acceptance_expectationsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv0.3.4
    • addedInput schema / properties / turn_id
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "title": "Turn Id"
      +}
    • addedInput schema / properties / work_id
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "title": "Work Id"
      +}
  2. Addedv0.1.2

TDQS

C2.4/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden. It discloses only that 'Domain failures are returned as structured error data' and that a stable AUTO-* id is generated when slice_declared_id is omitted. It does not state whether the tool performs writes, what state it creates, permissions required, idempotency, or other mutation-side effects, leaving major behavioral traits undocumented.

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 reasonably concise at four sentences and front-loads the composite purpose before moving to parameter variants and failure behavior. Most sentences earn their place, though the phrase 'without MangoMe jargon' is vague and adds little operational value.

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

Completeness2/5

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

For a complex 18-parameter composite mutation with no annotations, the description is incomplete. Output schema exists, so return values need not be detailed, but the description leaves most parameter semantics, usage versus siblings, and behavioral side effects unexplained, so an agent would struggle to invoke the tool correctly without additional inference.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% across 18 parameters, so the description must compensate. It adds meaning for a few optional parameters — proposed_slice, slice_title, slice_objective, and slice_declared_id — but leaves required parameters (family_id, actor_id, request_text, intent) and many optionals (classification, expected_scope, expected_artifacts, acceptance_expectations, estimate, etc.) completely unexplained.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a composite sequence — 'Compose intake -> plan -> start' — which gives a rough purpose, but the verb 'Compose' is vague and the phrase 'ordinary work without MangoMe jargon' does not clarify scope. It does not distinguish this wrapper from siblings like intake_request, submit_plan, or start_slice, so an agent cannot tell when this tool is preferable to calling those separately.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives caller-specific parameter guidance — 'Existing callers may pass proposed_slice' versus 'Zero-touch callers can instead pass slice_title' — which is useful. However, it never says when to use this tool versus the many sibling tools such as intake_request, enter_work, or start_slice, nor does it provide any exclusions or prerequisites.

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

Deploy Server

Other Tools