Skip to main content
Glama

wallabag_create_annotation

Create an annotation on a wallabag article by providing its entry ID, exact quote, and comment text.

Instructions

Create an annotation on a wallabag entry.

Input Schema

NameRequiredDescriptionDefault
textYesAnnotation text/comment
quoteYesExact quoted article text being annotated
entry_idYeswallabag entry/article id
ranges_jsonNoOptional JSON array of wallabag annotation range objects, for example [{"start":"/p[1]","startOffset":0,"end":"/p[1]","endOffset":12}]

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden and largely fails it. It does not disclose that this is a mutation requiring auth, that 'quote' must exactly match the article text for the annotation to anchor, what ranges_json does, or whether the operation is idempotent. For a write tool with zero annotation coverage this is a significant gap.

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?

A single front-loaded sentence with no filler or redundancy. It is appropriately sized for what it says, though the brevity is partly under-specification rather than disciplined concision.

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?

An output schema exists so return values need not be explained, and the parameter schema is fully covered. However, for a mutation tool with no annotations the description omits the behavioral and prerequisite context an agent needs, leaving it materially incomplete.

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?

Schema description coverage is 100%, so the schema already documents text, quote, entry_id, and the optional ranges_json with an example. The description adds no parameter-level meaning beyond that, which is the baseline 3 when the schema does the heavy lifting.

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?

States a specific verb (create) and resource (annotation) scoped to a wallabag entry, which cleanly separates it from wallabag_list_annotations and wallabag_delete_annotation. It stops short of naming those siblings or describing the annotation model, so it is clear but not differentiating.

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?

There is no guidance on when to use this tool versus the sibling annotation tools, no stated prerequisites (the entry must exist, the quote must match article text), and no indication of when ranges_json should be supplied. The agent must infer all usage context.

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