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Glama

EvalBatch

Read-onlyIdempotent

Evaluate multiple debugger expressions in one batch from a JSON array or separated list to inspect x64dbg/x32dbg state.

Instructions

Evaluate a batch of expressions.

Args: expressions_json: JSON array or newline/comma-separated expressions.

Input Schema

NameRequiredDescriptionDefault
expressions_jsonYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.9

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint, so the safety profile is covered by structured data. The description adds nothing behavioral beyond that — no statement about the expression language, error behavior for invalid expressions, or whether evaluation has side effects on the debuggee.

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?

Two short, front-loaded lines with no filler; the purpose leads and the argument format follows. The 'Args:' scaffolding is slightly boilerplate but costs almost nothing.

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?

With no output schema, the description should say something about what comes back (per-expression results? failures? partial errors?) and what expression dialect is valid. For a debugger-adjacent evaluator, leaving the language and return shape unspecified is a real gap.

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 0% and the single parameter carries no title detail beyond 'Expressions Json'. The description partially compensates by specifying accepted formats ('JSON array or newline/comma-separated expressions'), which is genuinely useful, but says nothing about the expression syntax the evaluator expects.

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 and resource ('Evaluate a batch of expressions'), so an agent immediately knows the operation. However, it does not differentiate itself from any sibling or name a single-expression counterpart, and none of the listed siblings is an obvious alternative, so differentiation is left implicit.

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?

The description contains no when-to-use, when-not-to-use, or prerequisite information. An agent cannot tell from this text whether it should batch expressions here versus stepping through the debugger with DebugStepIn/DebugStepOver first.

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