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Glama

Get Context

get_context

Retrieve the current conversation context, including recent resources and aliases, to stay informed about active infrastructure references during AWS management tasks.

Instructions

Get current conversation context (recent resources, aliases)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.2/5.0
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 burden. It does not disclose any behavioral traits such as whether the context is cached, how 'recent' is defined, or any side effects. Minimal information is given.

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?

A single, efficient sentence with no waste. It is appropriately sized for a tool with no parameters and front-loads the core purpose.

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

Completeness3/5

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

For a simple getter with an output schema, the description covers the basic scope (recent resources, aliases) but does not elaborate on what 'context' entails beyond those two items. It is adequate but not comprehensive; the output schema handles return details.

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 0 parameters, so the schema fully covers them. Baseline for 0 parameters is 4; the description adds no parameter-specific meaning, which is acceptable given there are none.

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 states a specific verb (Get) and resource (current conversation context), and clarifies the content (recent resources, aliases). It is clear but does not explicitly differentiate from siblings like list_aliases or discover_resources, which overlap partially.

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?

No guidance on when to use this tool versus alternatives. It does not mention when to prefer this over list_aliases or discover_resources, leaving the agent to infer from the description alone.

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