Adler32
adler32Compute the Adler-32 checksum of UTF-8 text (as used by zlib). Returns the unsigned value and hex. Keyless, offline.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes | The text to checksum. |
adler32Compute the Adler-32 checksum of UTF-8 text (as used by zlib). Returns the unsigned value and hex. Keyless, offline.
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes | The text to checksum. |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Input schema / examplesAdded value: +[
+ {
+ "text": "Hello, World!"
+ },
+ {
+ "text": "The quick brown fox jumps over the lazy dog"
+ }
+]Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already provide readOnlyHint, openWorldHint, idempotentHint, and destructiveHint false. The description adds key behavioral context: 'Keyless, offline' and that it works on UTF-8 text, which goes beyond annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences with zero waste. The first sentence immediately states the core action and resource, the second provides return type and key characteristics. Perfectly front-loaded and concise.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool is simple with one parameter and no output schema, the description covers the essential behavior: input is UTF-8, output is unsigned value and hex, tool is keyless and offline. The return format could be more explicit, but overall it is complete enough for correct usage.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The single parameter 'text' is fully described in the schema. The description adds the constraint that input must be UTF-8, which is useful and not in the schema, thus adding meaning beyond the structured field.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool computes an Adler-32 checksum on UTF-8 text, with specific output details (unsigned value and hex). It is specific about the algorithm and context (used by zlib), but does not explicitly distinguish from sibling crc32.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for checksumming text via 'Keyless, offline', but lacks explicit guidance on when to use this over alternatives or when not to use it. No alternatives are referenced.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.