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zebbern

agloop-mcp

by zebbern

agloop_get_state

Retrieves the complete AgLoop state including phase, tasks, iteration, and compaction context. Returns null when no active loop is running.

Instructions

Read the full AgLoop state including phase, tasks, iteration, and compaction context. Returns null if no active loop.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

With no annotations, the description fully discloses the read-only nature via the verb 'Read' and the return null behavior. It accurately describes the operation without contradiction, though no permissions or side effects are mentioned as none are expected for a simple getter.

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?

Two concise sentences deliver the purpose, components, and edge case without unnecessary words. Every phrase adds value.

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?

Given no parameters, an output schema (implied), and a simple read operation, the description covers the essential information: what is returned and the null case. It is complete for an agent to understand and invoke the tool.

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?

The tool has no parameters, so the baseline is 4. The description does not need to add parameter meaning, and it appropriately focuses on the return value and components.

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?

The description clearly states the tool reads the full AgLoop state and lists specific components (phase, tasks, iteration, compaction context). It also specifies the return behavior when no loop is active, distinguishing it from sibling getters that focus on individual aspects.

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

Usage Guidelines3/5

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

The description implies usage for retrieving the overall state but does not provide explicit guidance on when to use this vs. specific getters like agloop_get_plan or agloop_get_task. No 'when not to use' or alternatives are mentioned.

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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