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Get Comic

get_comic
Read-onlyIdempotent

Fetch a specific XKCD comic by its number (e.g., 353 for 'Python'). Returns title, image URL, alt text, publication date, transcript, and permalink.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
numberYesThe XKCD comic number (e.g. 1, 353, 2867).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
altYesAlt text for the comic image
imgYesURL to the comic image
urlYesURL to view the comic on xkcd.com
dateYesPublication date in YYYY-MM-DD format
linkYesURL link related to the comic, or null if not present
titleYesThe comic title
numberYesThe comic number
safe_titleYesThe comic title with special characters escaped
transcriptYesTranscript of the comic, or null if not available

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering safety. The description adds value by disclosing the exact return contents (title, image URL, alt text, date, transcript, permalink), which goes beyond annotations and helps the agent set expectations. No contradiction with annotations.

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?

A single, focused sentence that front-loads the core action and resource, then efficiently lists the return fields. Every word earns its place, and there is no redundant or vague phrasing.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a simple one-parameter tool with a clear description, a complete input schema, output schema, and annotations that declare it safe and idempotent. The description covers purpose, parameter, and return content, so it is fully complete for an agent to select and invoke this tool correctly. Minor sibling differentiation gaps are captured in the usage_guidelines dimension.

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?

The input schema already describes the 'number' parameter thoroughly (type, examples, and meaning), giving 100% coverage. The description reinforces this with a concrete example ('353 for \'Python\'') but adds no new syntax or constraints beyond the schema, so it is at baseline.

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?

The description uses a specific verb ('Fetch') and clearly identifies the resource ('a specific XKCD comic') with the key differentiator 'by its number'. It also lists the returned fields, making the purpose unambiguous and easily distinguishable from sibling tools like random_comic or get_latest.

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?

The description clearly implies when to use this tool: when you have a specific comic number in mind. However, it does not explicitly name alternatives or state when not to use it (e.g., use random_comic for a random comic, get_latest for the most recent). Despite this, the context is clear enough for basic selection.

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
Disambiguation2/5

Many tools overlap heavily: ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded, deep_research, entity_profile, compare_entities, and validate_claim all serve data-lookup purposes with unclear boundaries. The three xkcd comic tools are distinct but are buried under 31 unrelated tools, making selection confusing.

Naming Consistency2/5

Tool names follow no consistent pattern: some use verb_first (get_comic, list_subscriptions), some are nouns (entity_profile, deep_research), some have prefixes (ask_pipeworx_*, polymarket_*), and others are vague (scan_dependency, generate_llms_txt). The mixing of styles across the set makes it hard to predict naming.

Tool Count2/5

With 34 tools and a server name of 'xkcd', the count is wildly disproportionate; only 3 tools relate to comics. Even as a general data-access server, 34 tools is heavy and many are meta-tools (discover_tools, suggest_questions) that add bulk.

Completeness3/5

For the actual Pipeworx data domain, the surface is fairly comprehensive: querying, grounded answers, research, entity profiles, comparisons, validation, subscriptions, and prediction-market analysis are covered. However, there are notable gaps like no fetch-by-URI tool and no xkcd search/list capability, making the set incomplete for its name and slightly incomplete for its inferred domain.