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Save a permanent shareable link

save_permalink
Read-onlyIdempotent

Run a registered tool and save its (arguments, result) pair under a short permanent code that anyone with the link can view read-only (/permalink/{code}). Use this to cite or share a specific result (e.g. a verify_construct or verify_assembly check) rather than re-pasting it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
argsYesArguments for that tool, exactly as you would pass to it directly.
toolYesName of the registered tool to run and save (e.g. "verify_construct").

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already indicate readOnlyHint=true and idempotentHint=true, suggesting safe, non-modifying behavior. Description adds context that the result is saved under a short permanent code viewable by anyone with the link (read-only). This goes beyond annotations by explaining the permalink mechanism and intended usage for sharing.

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

Conciseness5/5

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

Two concise sentences. First sentence explains what the tool does and the outcome (permalink code). Second sentence provides a usage case. No redundant information; front-loaded with the core functionality.

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?

While the description covers purpose and usage, it does not describe the return value or output format. Since there is no output schema, the description should mention what the tool returns (e.g., a permalink URL or code). This gap could confuse the agent about what to expect after invocation.

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

Parameters4/5

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

Schema coverage is 100% with descriptions for both parameters (tool name and args). Description clarifies that args should be passed exactly as to the tool directly, which adds guidance beyond the schema. Example of using verify_construct as a tool name is helpful. No further elaboration needed for these standard parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states it runs a registered tool and saves the result as a permanent shareable link. Uses specific verbs ('run', 'save') and resource ('permalink'). Distinguishes from sibling tools by its unique function of creating a link for sharing results, unlike other tools that perform analyses or transformations.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly advises using this tool for citing or sharing specific results (e.g., verify_construct) rather than re-pasting them. Provides a clear use case but does not exclude scenarios or mention when not to use it. Could benefit from mentioning that it's only for read-only sharing of results from registered 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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TDQS

A3.6/5.0
Disambiguation4/5

Most tools have highly specific purposes (e.g., crispr_grna_design vs base_editing_design vs prime_editing_design). However, there is some overlap in sequence analysis tools (characterize_sequence, sequence_report) and plasmid annotation tools (plasmid_annotate vs plasmid_deep_annotate) which could cause confusion.

Naming Consistency3/5

The naming pattern is largely consistent with snake_case verb_noun or noun_descriptor (e.g., primer_design, plasmid_annotate, fastq_trim). However, there are exceptions like 'batch', 'workflow', 'gc_content', and 'cloning_diagnose' which don't follow the verb_noun pattern consistently. Also, some names are phrases like 'golden_gate_from_parts'.

Tool Count2/5

With 101 tools, this server is extremely large and likely overwhelming for agents. Even for a comprehensive bioinformatics toolkit, this exceeds a manageable scope, risking agent confusion and inefficient tool selection. A more modular approach would be advisable.

Completeness4/5

The tool surface covers a wide range of bioinformatics workflows including sequence analysis, primer design, cloning, CRISPR, NGS, expression analysis, and data export. There are minor gaps such as lack of a dedicated protein structure prediction tool and limited off-target genome coverage, but overall the set is impressively complete for its domain.

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