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UnboundCompute

lachesis-mcp

Official

points_to

Identify heap objects a value points to and reveal their path shape. Map dataflow by tracing object references in source code.

Instructions

Heap objects a value points to (POINTS_TO). path_shape.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
valueYes
formatNotext (compact, default) | json (structured result page)
Behavior2/5

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

With no annotations, the description carries the full burden of disclosing behavior. It states the computational purpose, but it does not say whether the tool is read-only, what output shape to expect, whether graph construction or loading occurs, or how 'path_shape' affects the result. It is not a tautology, but it is very thin on behavioral detail.

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

Conciseness2/5

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

The description is extremely short, but this is under-specification rather than real clarity. 'path_shape.' is an unexplained fragment that looks like stray marker of internal detail rather than helpful structure. The compactness therefore comes at the cost of useful information.

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?

There is no output schema, no annotations, and a large catalog of similarly named analysis tools. The description is far from complete enough for an agent to confidently select and invoke this specific tool; it lacks required parameter format, expected return content, and differentiation from sibling tools.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 50%, and the required parameter 'value' is not described in the schema. The description does not meaningfully clarify what string format 'value' should take, whether it is a variable name, source location, pointer expression, or something else. 'format' is already described in the schema, so the description adds little useful parameter information.

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 phrase 'Heap objects a value points to' clearly states the core operation: compute what heap objects a given value refers to via the POINTS_TO relation. It is much more informative than the tool name alone. However, it is written as a fragment rather than a full instruction, and the trailing 'path_shape' is unexplained, so it does not sharply differentiate this tool from closely related siblings like indirect_targets or aliases.

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 gives no guidance about when to invoke this tool versus the many similar graph/analysis siblings. It does not mention alternatives, conditions, prerequisites, or typical use cases. An agent would have to infer applicability solely from the operation name.

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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