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text_ascii_table_post

Generate an ASCII table with decimal, hexadecimal, octal, and binary values for standard and extended characters, including control codes.

Instructions

Menu ID: ascii_table. ASCII Table Reference. Complete ASCII reference table with decimal, hexadecimal, octal, and binary values for all 128 standard and 256 extended characters, plus control code names. Use describe_tool with tool_id "ascii_table" for full page guidance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatYes
extendedYes
Behavior2/5

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

With no annotations, the description carries full burden but offers minimal behavioral insight. It does not state whether the tool retrieves or generates data, any side effects, authentication needs, or return format. The term 'post' implies creation, but the description suggests a reference table (read-like). This ambiguity reduces transparency.

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 short but includes an irrelevant first sentence ('Menu ID: ascii_table.') that does not aid understanding. It could be more concise and structured, with key info front-loaded. The second sentence adds value but the first wastes space.

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?

Given the complexity (2 required params, no output schema, no annotations), the description is severely incomplete. It lacks parameter descriptions, behavioral traits, return format, and usage context. The suggestion to use 'describe_tool' partially compensates, but as a standalone definition it is insufficient.

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

Parameters1/5

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

Schema coverage is 0%, so the description must explain the two required parameters ('format' and 'extended'). It does not mention them at all, leaving the agent with no information about what values are expected or how they influence output. This is a critical gap.

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 clearly identifies the resource as 'ASCII Table Reference' and details the content (decimal, hex, octal, binary for 128/256 characters). However, it does not explicitly state the action ('get', 'generate'), and it fails to differentiate from the sibling tool 'text_ascii_table', which likely provides similar functionality via GET. The verb is implied but not explicit.

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 provides no guidance on when to use this tool versus alternatives. The only directive is to use 'describe_tool' for full guidance, but it does not explain usage context, prerequisites, or when to prefer this over siblings like 'text_ascii_table' or conversion tools.

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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