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Glama

Full entity inventory report

get_analysis_report
Read-only

Generates a structured report listing functions, globals, strings, and entry points from a binary, enabling comprehensive reverse engineering analysis.

Instructions

自动生成结构化分析报告(函数/全局/字符串/入口点全量清单)。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
instance_idNoOptional database instance id. If omitted, use the current target.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
globalsYes
stringsYes
functionsYes
entry_pointsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv20261008.0.1

TDQS

B3.2/5.0
Behavior3/5

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

readOnlyHint=true already tells the agent this is a safe read, so the bar is lower. The description adds that the output is a full/unfiltered inventory spanning multiple entity classes, which is useful, but says nothing about cost or scope of the scan (a whole-database aggregation could be expensive) or whether the report is persisted.

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

Conciseness4/5

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

One short, front-loaded sentence with the parenthetical content list doing real work; nothing is padded. It is close to a restatement of the title, but it earns its place by naming what the report contains.

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?

An output schema exists, so return values need not be explained, and the schema fully covers the lone parameter. What is missing is the decision context: with ~50 siblings including generate_analysis_report_md and numerous list tools, an agent cannot tell from this description when this report is the right call.

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% and the single optional instance_id is fully documented in the schema (including the 'use the current target' default behavior). The description adds no parameter-level meaning beyond that, so the baseline of 3 applies.

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?

States a specific verb (generate) and resource (structured analysis report) and enumerates the contents: functions, globals, strings, entry points as a full inventory. However, it does not differentiate itself from the near-identical sibling generate_analysis_report_md, which leaves an agent guessing which report tool to pick.

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 when-to-use guidance, no prerequisites, and no routing advice relative to siblings like generate_analysis_report_md, survey_binary, or the many list_* / entity_query tools that also enumerate functions and globals. The agent must infer the choice entirely from the name.

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