Skip to main content
Glama
erdos2n

Meticulous Espresso MCP Server

by erdos2n

get_last_shot

Retrieve the most recently completed espresso shot. Defaults to a compact summary to avoid token overflow; opt for full verbosity for raw payload.

Instructions

Get the most recently completed shot. Defaults to a compact summary to avoid token overflow.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
verbosityNo'summary' (default) returns compact metadata and sampled trace; 'full' returns raw shot payload.summary
max_pointsNoMaximum number of points in summary trace preview.
Behavior3/5

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

With no annotations, the description carries the burden. It discloses the default output behavior (compact summary) and rationale (avoid token overflow), which is valuable. However, it does not mention what happens when there are no shots or what 'full' verbosity entails beyond 'raw shot payload' in the schema.

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?

The description is a single sentence that immediately states the purpose and a key default behavior. No filler or redundancy. It is perfectly concise and front-loaded.

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?

For a simple getter with two optional parameters and no output schema, the description is largely sufficient. It explains purpose and default behavior. It could have explicitly contrasted with get_current_shot to reduce ambiguity, but given the sibling names, the word 'completed' already conveys the distinction.

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 100%, so the schema already documents both parameters well. The description adds a small extra layer by explaining why the summary default exists (token overflow), but it does not add semantic detail for max_points beyond what the schema provides.

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 a specific verb and resource: 'Get the most recently completed shot.' This distinguishes it from siblings like get_current_shot (which implies an in-progress shot) and get_shot_history (which is a list). The word 'completed' adds important scope.

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 latest finished shot, and mentions the default summary to avoid token overflow, which is useful context. However, it does not explicitly name alternatives or state when not to use it, leaving the distinction from get_current_shot implicit.

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/erdos2n/meticulous-mcp-server'

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