Skip to main content
Glama

sentarion_quickstart

Access runnable examples for all Sentarion capabilities: plan a feature, fan out research, dispatch with dependencies, use a worktree, remember a result, replan from memory.

Instructions

Canonical, runnable examples for every Sentarion capability: plan a feature, fan out research, dispatch with dependencies, use a worktree, remember a result, replan from memory.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.2.2

TDQS

C2.4/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full disclosure burden. It does not say whether 'runnable examples' are returned as text, executed server-side, or have side effects, nor whether the call is safe/read-only. This is a meaningful gap for a zero-annotation tool.

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?

A single front-loaded sentence enumerating the capabilities, with no filler. Efficient, though the enumeration is essentially restating the enum options rather than adding information.

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?

With no output schema, no annotations, and an optional param whose default behavior is unstated, the description does not explain the return shape (text? example objects?) or default selection. For a discoverability/quickstart tool, that leaves key questions unanswered.

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% and the single 'topic' param has no documentation. The description merely repeats the six enum values verbatim, adding no semantics about what each topic yields or what happens if 'topic' is omitted (it is optional). Marginal value over the schema.

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 identifies the resource (canonical runnable examples) and enumerates the capabilities covered, which partly distinguishes it from siblings like recall or worktree. However, there is no clear verb — it is ambiguous whether the tool returns documentation, executes examples, or scaffolds code. An agent cannot confidently tell what it gets back.

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?

There is no guidance on when to call this versus the many concrete siblings (orchestrate_and_record, dispatch_with_dependencies, recall_and_replan). It never says 'use this first to learn the API' or 'use this instead of X', so routing relies entirely on the agent inferring from the name.

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