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execute_capability

Execute one routed or known algenta_managed capability by capability id. client_managed routes must execute in the customer app or adapter path. If the capability requires approval (approval_required), this returns a pending plan (status='approval_required', plus plan_id/plan_hash/nonce) instead of executing -- approval is a separate, credentialed HTTP operation and is NOT available as a tool. Once a human has approved it out-of-band, call this tool again with plan_id set to actually run it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputNo
plan_idNoSet only after a previously proposed, approval_required plan has been approved via POST /v1/capability-executions/{plan_id}/approve.
binding_idNo
request_idNo
capability_idYes

Schema Changelog

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

  1. Changed1 schema field changed
    • addedInput schema / properties / plan_id
      Added value: +{
      +  "description": "Set only after a previously proposed, approval_required plan has been approved via POST /v1/capability-executions/{plan_id}/approve.",
      +  "type": "string"
      +}
  2. First observed

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does a good job: it reveals that approval-required capabilities return a pending plan rather than executing, that approval is not available as a tool, and that re-invocation with plan_id is needed. This is meaningful behavioral context beyond the bare action. It could still disclose side effects or idempotency of execution, so it is not a 5.

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?

Three tightly packed sentences: the first states the core action, the second excludes client_managed routes, and the third explains the approval workflow. Every sentence adds essential information, and the approval-specific behavior is front-loaded. No filler or redundancy.

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

Completeness4/5

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

The description thoroughly covers the routing constraint and the approval-required workflow, including status field and plan-related return values. However, since there is no output schema, it omits what a successful normal execution returns (e.g., execution ID or result payload), and input/binding/request parameters remain contextless. Given the tool's complexity, it is mostly complete but not fully.

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 only 20% (only plan_id has a description). The prose explains capability_id ('by capability id') and plan_id (via the approval-reinvocation flow), adding real meaning to those two parameters. However, input, binding_id, and request_id remain entirely unexplained in both schema and description, so the description does not fully compensate for the low coverage.

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

Purpose4/5

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

The description opens with a specific action and resource: 'Execute one routed or known algenta_managed capability by capability id.' This clearly identifies the tool's purpose and scope. It also adds a boundary by noting client_managed routes are out of scope, though it does not name a specific sibling tool as the alternative, so it stops short of full differentiation.

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?

The description provides explicit when-to-use and when-not-to-use guidance. It states the tool is for routed/known algenta_managed capabilities, that client_managed routes must go through the customer app/adapter path, and details the approval flow: when approval_required, it returns a pending plan instead of executing, and the user must call again with plan_id after out-of-band approval. It also clearly says approval is a separate HTTP operation, not a tool.

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

C2.7/5.0
Disambiguation4/5

Most tools target distinct resources or actions, but there is some overlap (e.g., run_repository_fix vs run_repository_pipeline vs simulate_repository) that could cause confusion. Overall, descriptions help differentiate.

Naming Consistency3/5

Tool names are primarily snake_case with a verb_noun pattern, but there are inconsistencies (e.g., single-word verbs like 'simulate', 'tokenize', and mixed prefixes like 'preview_', 'product_'). The pattern is readable but not uniform.

Tool Count1/5

With 140 tools, the server is extremely over-scoped for typical MCP usage. This overwhelms agents and suggests poor separation of concerns, likely violating the principle of minimal tool surfaces.

Completeness4/5

The tool set covers a wide range of functionalities including data onboarding, simulation, decisions, repository management, and admin operations. Minor gaps exist (e.g., no update_agent_run), but core workflows are well-supported.

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