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erdos2n

Meticulous Espresso MCP Server

by erdos2n

get_shot_data_for_analysis

Fetch espresso shot data and profile for analysis. Choose summary, compact trace, or full raw payload to match chat context limits.

Instructions

Fetch shot data and profile for analysis. Defaults to compact output with a sampled trace to stay within chat context limits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
verbosityNo'summary' returns key metadata only, 'compact' includes sampled trace, 'full' returns raw payload.compact
max_pointsNoMaximum number of points in compact trace preview.
shot_db_keyNodb_key of the shot to fetch (from get_shot_history). If omitted, fetches the last shot.
Behavior3/5

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

With no annotations provided, the description carries the full burden for behavioral disclosure. It discloses the default compact output with a sampled trace to manage chat context limits, which is useful. However, it does not state whether the operation is read-only, potential errors, or what else happens internally.

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, front-loaded sentence that communicates the core purpose and a key default. It is concise with no wasted words.

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?

The description explains the default output mode and rationale, which covers the essential operational context. Since the schema covers all parameters and there is no output schema, the description does not need to detail return fields, but it could mention what 'compact' includes beyond 'sampled trace'. Overall, it is sufficient for a simple fetch tool with optional parameters.

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?

All parameters have descriptions in the schema (100% coverage), so the description adds no extra meaning beyond the schema. The default values for verbosity and max_points are already documented, so 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 states 'Fetch shot data and profile for analysis' which is a specific verb+resource combination. It adds scope by mentioning 'for analysis' and defaults to compact output. However, it doesn't explicitly distinguish itself from sibling tools like get_shot_history or get_current_shot, which also fetch shot data.

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 word 'analysis' implies the intended use case, but no explicit guidance is given about when to prefer this over alternatives. There is no mention of exclusions or specific scenarios, relying mostly on the tool name and purpose.

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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