Skip to main content
Glama

Summarize Context

summarize_context
Read-onlyIdempotent

Collects context from enabled Apple apps and generates a summary based on your specified focus area.

Instructions

Collect context from all enabled Apple apps and ask the client's LLM to produ...

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
focusNoOptional focus area (e.g. 'meetings', 'overdue tasks', 'project X')
Behavior3/5

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

Annotations already indicate readOnly=true, destructive=false, idempotent=true. Description adds that it collects context and uses LLM, but does not fully disclose behavior (e.g., which apps, how often, network usage). No contradiction with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very short (one incomplete sentence). While concise, it lacks structure and completeness, missing key details.

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?

No output schema, and description is incomplete. The tool aggregates from many apps—crucial missing details (e.g., what 'context' includes, which apps, LLM output format). Insufficient for reliable invocation.

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 describes the single parameter 'focus' with full coverage. Description adds no additional meaning beyond schema. Baseline 3 is appropriate.

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 specifies collecting context from enabled Apple apps and sending to LLM, clearly indicating verb and resource. However, it is truncated, and does not differentiate from siblings like 'proactive_context' or 'suggest_next_tools'.

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, such as for gathering proactive context versus generating summaries. The truncated description provides no usage context.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/heznpc/AirMCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server