Skip to main content
Glama

smiles_info

Receive JSON-formatted molecular descriptors by providing a SMILES string. Extract structural and property data for chemical compounds.

Instructions

Return JSON formatted descriptors for a SMILES

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
smilesYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description carries the full burden but only states 'Return JSON formatted descriptors', implying a safe read operation. It fails to disclose behavior on invalid SMILES, error handling, or any side effects. This is insufficient for a tool with no annotations.

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?

The description is a single sentence with no extraneous text. It is concise and front-loaded. However, it may be too brief, sacrificing clarity for brevity.

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?

The tool has a single parameter and an output schema (not shown), so the description need not explain return values. However, given the complexity of chemical descriptors and the presence of sibling tools, the description lacks contextual completeness regarding usage and relationship to other 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?

The single parameter 'smiles' has no description in the schema (0% coverage). The description merely says 'for a SMILES', adding no detail about expected format (e.g., canonical, any valid string) or constraints. With low schema coverage, the description should compensate but does not.

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 states the tool returns JSON descriptors for a SMILES. The verb 'Return' and resource 'JSON formatted descriptors' are specific, and it distinguishes itself from sibling SMILES manipulation tools. However, it does not specify what kind of descriptors (e.g., molecular properties, fingerprints), leaving some ambiguity.

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 guidance is provided on when to use this tool versus its siblings (e.g., smiles_retrieve, smiles_has_substructure). The description does not mention context or prerequisites, making it unclear for an agent to choose correctly.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/lukasmki/mol-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server